Kaisa's Personal Library and Some Other Books

Kaisa's books

• 2020 Conference Proceedings; IEEE World Congress on Computational Intelligence, WCCI2020, Proceedings incl. 2020 IEEE Congress on Evolutionary Computation (elect)
• Abelman S. et al.: Mathematics in industry study group 2004
• Alexander L.G.: Longman English grammar
• Alt F.B. et al. (Eds): Perspectives in operations research: Papers in Honor of Saul Gass' 80th Birthday
• Antia H.M.: Numerical methods for scientists and engineers
• Apostol T.M.: Calculus I ja II
• Back T. et al. (Eds): Parallel Problem Solving from Nature - PPSN XVI, PPSN 2020, Proceedings, Part I and Part II (elect)
• Baldani: Mathematical Economics
• Ball L.J. & Thompson V.A. (Eds): The Routledge International Handbook of Thinking and Reasoning
• Banasiewicz A.D.: Evidence-Based Decision-Making: How to Leverage Available Data and Avoid Cognitive Biases
• Bandyopadhyay N.R. et al. (Eds): Neural network and genetic algorithm in material science and engineering (Paavo N.)
• Barichard et al. (Eds): Multiobjective Programming and Goal Programming: Theoretical Results and Practical Applications (proc. of MOPGP2006, published in 2009)
• Bartholomew-Biggs M.: Nonlinear optimization with financial applications
• Bazaraa et al.: Nonlinear Programming, 3rd edition (Babooshka)
• Branke et al. (Eds): Multiobjective Optimization: Interactive and Evolutionary Approaches (published in 2008) (3 kpl) (Babooshka, Samuli Kurikka)
• Belton V. & Steward T.J.: Multiple criteria decision analysis (Bekir)
• Bouyssou D. et al. Evaluation and decision models with multiple criteria
• Bouyd S. & Vandenberghe L. Convex optimization
• Brännback M. & Kuula M. ((Ed): Decision science and applications
• Burden R.L & Faires J.D.: Numerical analysis
• Burstein F. et al. (Eds): Supporting Real Time Decision-Making: The Role of Context in Decision Support on the Move
• Burczynski & Periaux J. (Eds): Evolutionary and Deterministic Methods for Design, Optimization and Control - Applications to Industrial and Societal Problems
• Chaudhuri A. & Ghosh S. K.: Quantitative Modeling of Operational Risk in Finance and Banking Using Possibility Theory (elect)
• Chiang A.C. & Wainwright K.: Fundamental methods of mathematical economics
• Climaco J. (Ed.): Multicriteria analysis
• Coello C.A. et al. Evolutionary Algorithms for Solving Multi-Objective Problems, 2nd edition (Severi Nattila)
• Cortez P.: Modern Optimization with R (elect)
• De Jong K.A.: Evolutionary computation
• Deb K.: Optimization for engineering design: algorithms and examples
• Deb K.: Multi-Objective Optimization Using Evolutionary Algorithms (Severi Nattila)
• Deb K. et al. (Eds): Simulated Evolution and Learning, 8th International Conference SEAL2010, Proceedings
• Deb K. et al. (Eds): Evolutionary Multi-Criterion Optimization, 10th International Conference, EMO2019, Proceedings (book and elect)
• Dewhurst F.: Quantitative methods for business and management
• Di Barda P.: Multiobjective Shape Design in Electricity and Magnetism
• Dowling E.T.: Introduction to mathematical economics
• Ehrgott M.: Multicriteria optimization, lecture notes
• Ehrgott M.: Multicriteria optimization, 2nd edition
• Ehrgott M. & Gandibleux X. (Eds): Multiple criteria optimization: State of the Art Annotated Bibliographic Surveys
• Emmerich M. et al (Eds): EVOLVE - A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII
• Emmerich M. et al (Eds): Evolutionary Multi-Criterion Optimization, EMO 2023, Proceedings (book and elect)
• Fandel G. Optimale entscheidungen in organisationen
• Fasano A. & Primicerio M. (Eds): Proceedings of the seventh European conference on mathematics in industry
• Figueira J. et al. (Eds): Multiple criteria decision analysis: State of the Art Surveys
• Filipic B. et al. (Eds): Bioinspired Optimization Methods and Their Applications, BIOMA2020, Proceedings (elect)
• Fink A. et al. (Eds): Operations Research Proceedings 2016: Selected Papers of the Annual International Conference of the German Operations Research Society
• Gal T. et al. (Eds): Multicriteria decision making
• Gandibleux X. et al. Metaheuristics for multiobjective optimisation
• Gauger N. et al. (Eds): 14th International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control, EUROGEN2021, Proceedings (elect)
• Giannakoglou K.C. et al. Evolutionary methods for design, optimization and control
• Glaser B. Efficiency versus sustainability in dynamic decision making
• Goh C.-K., Tan K. C.: Evolutionary Multi-Objective Optimization in Uncertain Environments: Issues and Algorithms
• Goldberg D.E. Genetic algorithms in search, optimization & machine learning
• Goossens M. & Rahtz S.: The LaTeX Web Companion, Integrating TeX, HTML and XML
• Goossens M. et al.: The LaTex Graphics Companion
• Grätzer G.: More Math into LaTeX, 4th edition
• Grätzer G.: Practical LaTeX (elect)
• Greco S. et al.: Multiple Criteria Decision Analysis: State of the Art Surveys, vol 1 and 2, 2nd edition (Kaisa)
• Grötschel M. (Ed.) Optimization Stories (ISMP 2012)
• Haario H. et al.: Matemaattiset menetelmät suomalaisten yritysten t&k-toiminnassa
• Haataja J.: Optimointitehtävien ratkaiseminen (2 eri painosta)
• Haataja J. et al. (Eds): Laskennallinen tuotekehitys: Suunnittelun uusi ulottuvuus
• Haataja J. et al.: Sillanrakennuksesta lääkesuunnitteluun, Matemaattinen mallintaminen suomalaisissa yliopistoissa
• Haataja J. et al.: Numeeriset menetelmät käytännössä (2 kpl) L.)
• Haataja J., Stenberg R., Periauz J., Raback P., Neittaanmaki P. (Eds): Numerical Analysis and Scientific Computing for Partial Differential Equations and their Challenging Applications
• Haataja J. & Rahola J.: Matemaattiset ohjelmistot (2 kpl)
• Haider A.D.: Construction Program Management - Decision Making and Optimization Techniques (elect)
• Haimes Y.Y. & Steuer R.E. (Eds): Research and practice in multiple criteria decision making, lecture notes
• Haimes Y.Y. et al.: Hierarchical multiobjective analysis of large-scale systems
• Handl E. et al. (Eds): Parallel Problem Solving from Nature - PPSN XIV, Proceedings (elect)
• Henggeler Antunes C. et al. (Eds): Multiple criteria decision aiding: 56th Meeting of the European Working Group MCDA
• Hintermuller M. & Skutella M. (Eds): Special issue of the ISMP 2012 in Berlin (plenaries and semi-plenaries) published in Mathematical Programming, Series B 134(1), 2012
• Hiukka K. et al.: Tiedon kauppiaat
• Higham N.J.: Handbook of writing for the mathematical sciences
• Hock W. & Schittkowski K:: Test Examples for Nonlinear Programming Codes
• IFAC Activities in Finland 1956-2006
• Huber S. et al. (Eds): Multiple Criteria Decision Making and Aiding: Cases on Models and Methods with Computer Implementations (elect)
• Ishibuchi H. et al. (Eds): Evolutionary Multi-Criterion Optimization, EMO2021, Proceedings (elect)
• Isomaki H. et al.: Future Educational Technologies
• Isomaki H.: The Prevailing Conceptions of the Human Being in Information Systems Development: Systems Designers' Reflections
• Jahn J.: Introduction to the theory of nonlinear optimization
• Jahn J.: Vector optimization
• Jin J. et al.: Data-Driven Evolutionary Optimization: Intergrating Evolutionary Computation, Machine Learning and Data Science (elect)
• Kaijaluoto S.: Process optimization by flowsheet simulation
• Kaliszewski I.: Soft computing for complex multiple criteria decision making
• Kaliszewski I. et al.: Multiple Criteria Decision Making by Multiobjective Optimization
• Kallio M. et al.: Johdatus kvantitatiiviseen analyysiin taloustieteissä (1. ja 3. painos)
• Kamenev G.K.: Optimalnie adaptivinie metodi poliedralnoi approksimatsii vshuklh tel (in Russian)
• Klein D. A.: Decision-Analytic Intelligent Systems: Automated Explanation and Knowledge Acquisition (Giovanni)
• Klüppelberg C. et al. (Eds): Risk: A Multidiscriplinary Introduction (elect)
• Knowles J. et al. (Eds): Multiobjective Problem Solving from Nature: From Concepts to Applications
• Kopka H. & Daly P.W.: Guide to LaTeX, 4th edition
• Korhonen P.J. & Wallenius J.: Making Better Decisions: Balancing Conflicting Criteria
• Korhonen P. et al: The Rocky Road to Publishing in the Management Sciences and Beyond: Experiencing the Journey and Lessons Learned
• Korpela J. & Larmela T.: C-ohjelmointikieli
• Korpela J. et al.: Fortran 77
• Korpela J. et al.: Pascal-ohjelmointikieli
• Kotila S. et al.: CSC report on scientific computing 1999-2000
• Kotila S. et al.: CSC report on scientific computing 2001-2003
• Koukkari P. (Ed.): Advanced Gibbs Energy Methods for Functional Materials and Processes
• Kulikowski R.: Methodology and applications of decision support systems
• Kumar S.: Recent developments in mathematical programming
• Kynsijärvi M. & Tarvainen K.: Johdatus stokastiseen monitavoitteiseen optimointiin
• Köksalan M. & Zionts S. (Eds): Multiple criteria decision making in the new millennium, lecture notes
• Laaksonen M. & Pynnönen S. (Eds: Contributions to management science, mathematics and modelling
• Lahdelma et al. (Eds): Proceedings of the 67th Meeting of the European Working Group "Multiple Criteria Decision Aiding"
• Lamport L.: LaTeX, A Document Preparation System: User's Guide and Reference Manual
• Lei G. et al.: Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems (elect)
• Lenstra J.K. et al.: History of mathematical programming
• Lindo Systems Inc.: Solver suite
• Lotov A. et al.: Feasible goals method search for smart decisions
• Lotov A.V. et al.: Interactive decision maps
• Lu J. et al.: Multi-Objective Group Decision Making: Methods, Software and Applications with Fuzzy Set Techniques
• Mannermaa M.: Heikoista signaaleista vahva tulevaisuus
• Mes, M. et al. (Eds): Computational Logistics, ICCL2021, Proceedings (elect)
• Miettinen K.M.: Nonlinear multiobjective optimization (4 kpl) (Bekir, Matias Nieminen, Giomara, MaoMao)
• Miettinen K.: On the methodology of multiobjective optimization with applications
• Miettinen K. (Ed.): Proceedings of the second Noon2nooN seminar on decision science and applications
• Miettinen K. et al. (Eds): Evolutionary algorithms in engineering and computer science
• Miettinen K. et al. (Eds): Proceedings of EUROGEN 99 - Short course on evolutionary algorithms in engineering and computer science
• Mitchell M.: An introduction to genetic algorithms
• Mittelbach F. & Boossens M.: The LaTeX Companion, 2nd edition
• Myrberg L.: Differentiaali- ja integraalilaskenta, osa 1
• Mäkelä M.M. & Neittaanmäki P.: Nonsmooth optimization
• Makinen et al. (Eds): Proceedings of the 10th Finnish Mechanics Days
• Nakayama H. et al.: Sequential Approximate Multiobjective Optimization Using Computational Intelligence, 2009
• Neittaanmäki et al. (Eds): Evolutionary and Deterministic Methods for Design, Optimization and Control: Applications to Industrial and Societal Problems (proceedings)
• Nicosia G. et al. (Eds): Machine Learning, Optimization, and Data Science, LOD2019, Proceedings (elect)
• Nocedal J. & Wright S.J.: Numerical optimization
• Novak V. et al.: Fuzzy approach to reasoning and decision-making
• Olson D.L.: Decision aids for selection problems
• Osyczka A.: Computer aided multicriterion optimization system (CAMOS)
• Pardalos P. et al.: Non-Convex Multi-Objective Optimization (elect)
• Pinter J.: Global Optimization in Action (Karthik)
• Pinter J. (Ed.): Global Optimization: Scientific and Engineering Case Studies
• Pohl R.F. (Ed.): Cognitive Illusions: Intriguing Phenomena in Judgement, Thinking and Memory (Bekir)
• Rangaiah G.P. (Ed.) Multi-Objective Optimization: Techniques and Applications in Chemical Engineering
• Rangaiah G.P. (Ed.) Multi-Objective Optimization: Techniques and Applications in Chemical Engineering, 2nd edition
• Roy B.: Multicriteria methodology for decision aiding
• Rudnicki M. & Wiak S.: Optimization and inverse problems in electromagnetism
• Rudolph, B. et al. (Eds): Parallel Problem Solving from Nature - PPSN XVII, PPSN2022, Proceedings, Part I and Part II (in print and elect)
• Rutkowski L. et al.: Artificial Intelligence and Soft Computing, Proceedings 2012, Part I
• Rutkowski L. et al.: Artificial Intelligence and Soft Computing, Proceedings 2012, Part II
• Rutkowski L. et al.: Swarm and Evolutionary Computation, Proceedings 2012
• Ruuskanen E.: The evolution of scientific computing and its impacts on innovations
• Ruuskanen E.: Tieteen kolmas menetelmä: tieteellisen laskennan kehityshistoria ja innovaatiot Jyväskylän seudulla
• Saariluoma P.: Käyttäjäpsykologia: ihmisen ja koneen vuorovaikutuksen uusi ajattelutapa
• Saariluoma P., Isomäki H. ((Eds): Future Interaction Design II
• Saaty T.L.: The analytic network process
• Sakawa M.: Genetic algorithms and fuzzy multiobjective optimization
• Saralauskas L. et al.: The 20th International Conference EURO Mini Conference "Continuous Optimization and Knowledge-Based Technologies" EurOPT'2008 - Selected papers
• Sawaragi et al.: Theory of Multiobjective Optimization (Juuso)
• Schutze O. & Hernandex C.: Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms
• Sergeyev Y. D. & Kvasov D. E. (Eds): Numerical Computations: Theory and Algorithms, NUMTA2019, Proceedings, Part I and Part II (elect)
• Shi Y. et al.: Optimization Based Data Mining: Theory and Applications
• Shi Y. et al. (Eds): New State of MCDM in the 21st Century - Selected Papers of the 20th International Conference on Multiple Criteria Decision Making 2009
• Silva P.J.: How to Write a Lot
• Slettengren A. & Widen B.: A modern English grammar
• Stewart T.J & van der Honert R.C. (Eds): Trends in multicriteria decision making, lecture notes
• Sullivan T.J.: Introduction to Uncertainty Quantification (elect)
• Suomalainen Tiedeakatemia: Vuosikirja 2009
• Strongin R. G. & Sergeyev Y. D.: Global Optimization with Non-Convex Constraints: Sequential and Parallel Algorithms (elect)
• Sun W. & Yuan Y.-X.: Optimization theory and methods: Nonlinear programming
• Taha H.A.: Operations Research
• Takahashi R.H. et al. (Eds): Evolutionary Multi-Criterion Optimization, EMO 2011
• Tamiz M. (Ed.): Multi-objective programming and goal programming, lecture notes
• Tanino T. et al. (Eds): Multi-objective programming and goal-programming
• Tarvainen K.: Johdatus monitavoitteiseen optimointiin (2 kpl)
• Taylor R. & Hawkings S.: Mathematics for Economics and Business
• T'kindt V. & Billaut J.-C.: Multicriteria scheduling
• Triantaphyllou E.: Multi-criteria decision making methods: a comparative study
• Trzaskalik T. (Ed.): Multiple criteria decision making '05
• Trzaskalik T. & Michnik J. (Eds): Multiple objective and goal programming
• Trzaskalik T., Wachowicz T. (Eds): Multiple Criteria Decision Making '08
• Tzeng G.-H., Huang J.-J.: Multiple Attribute Decision Making: Methods and Applications
• Törn A. & Zilinzkas J. ((Eds: Models and Algorithms for Global Optimization
• Vallverdu J.: Bayesian Versus Frequentists: A Philosophical Debate on Statistical Reasoning (elect)
• Vose M.D.: The simple genetic algorithm
• Wierzbicki A.P. et al.: Model-based decision support methodology with environmental applications
• Zu J., Yao L.: Random-Like Multiple Objective Decision Making
• Yu P.L.: Forming winning strategies
• Zitzler E. et al. (Eds): Evolutionary multi-criterion optimization
• Abstract book of the MCDM2019 conference (Bekir)

Books owned by the Multiobjective Optimization Group

• Korhonen P.J. & Wallenius J.: Making Better Decisions: Balancing Conflicting Criteria (2 copies) (Bhupinder)

Books owned by Other Multiobjective Optimization Group Members

• Barichard et al. (Eds): Multiobjective Programming and Goal Programming: Theoretical Results and Practical Applications (proc. of MOPGP2006, published in 2009) (Jussi)
• Blum C., Battini R. (Eds): Learning and Intelligent Optimization, Proceedings, Springer, 2010 (Kaisa)
• Brafman R.I. et al (Eds): Algorithmic Decision Theory: Second International Conference, Proceedings
• Friedman A.: Foundations of Modern Analysis (Jussi)
• Horst R., Pardalos P.M.: Nonconvex Optimization and Its Applications - Hardbook of Global Optimization (Pekka N.)
• Klatte D et al (Eds): Operations Research Proceedings 2011 (Jussi, now Karthik)
• Miettinen K. et al (Eds): Evolutionary Algorithms in Engineering and Computer Science (Jussi)

Books owned by the Dept. of MIT -> Faculty of IT

• Aitkin M. et al.: Statistical Modelling in R (Kaisa)
• Andre F. J. et al. (Eds): Designing Public Policies - An Approach Based on Multi-Criteria Analysis and Computable General Equilibrium Modeling (Kaisa)
• Babuska I. et al.: Finite Elements - An Introduction to the Method and Error Estimation (Kaisa)
• Back T. et al: Evolutionary Computation 1: Basic Algorithms and Operators (Karthik)
• Back T. et al: Evolutionary Computation 2: Advanced Algorithms and Operators (Kaisa)
• Banichuk & Neittaanmaki: Structural Optimization with Uncertainties (Jussi)
• Bard J.F.: Practical Bilevel Optimization
• Bermudez Jose Luis: Decision Theory and Rationality (Kaisa)
• Biegler L.T. et al.: Systematic Methods of Chemical Process Design (Jussi)
• Brinkyis J. & Tikhomirov V.: Optimization: Insights and Applications (Kaisa)
• Conejo A. J. et al. (Eds): Decision Making Under Uncertainty in Electricity Markets (Kaisa)
• De Keyser W., Springael J.: Why Don't We KISS!? (Jussi)
• Dempe S.: Foundations of Bilevel Programming
• Ehrgott et al. (Eds): Trends in Multiple Criteria Decision Analysis (Kaisa)
• Eiben A. E. & Smith J. E.: Introduction to Evolutionary Computing (Karthik)
• Fleurbaey M.: Fairness, Responsibility, and Welfare (Kaisa)
• Forman E. H. & Selly M. A.: Decision by Objectives - How to Convince Others that You Are Right (Kaisa)
• French S. et al.: Decision Behaviour, Analysis and Support (Kaisa)
• Friesz T. L. (Ed.): Dynamic Optimization and Differential Games (Kaisa)
• Gendreau M. & Potvin J.-Y. (Eds): Handbook of Metaheuristics, 2nd edition (Kaisa)
• Goh C.-K. et al. (Eds): Multi-Objective Memetic Algorithms
• Hillier & Lieberman: Introduction to Operations Research (9. ed) (Jussi)
• Hinze M. et al.: Mathematical Modelling: Theory and Applications - Optimization with PDE Constrains (Jussi)
• Hopp W.J. & Spearman M.L.: Factory Physics (3rd ed) (Giovanni)
• Keeney R.L., Value-Focused Thinking: A Path to Creative Decisionmaking (Bekir)
• Knowles J. et al. (Eds): Multiobjective Problem Solving from Nature – From Concepts to Applications (Kaisa)
• Krabs W. & Pickl S.: Dynamical Systems – Stability, Controllability and Chaotic Behavior (Kaisa)
• Koksalan M. et al.: Multiple Criteria Decision Making From Early History to the 21st Century (Jussi)
• Loewenstein G.: Exotic Preferences – Behavioral Economics and Human Motivation (Kaisa)
• Maciejowski J.: Predictive Control with Constraints
• Miettinen K.M.: Nonlinear multiobjective optimization (Samuli Kurikka)
• Metcalf M. et al.: Modern Fortran Explained (Kaisa)
• Mezard M. & Mantanari A.: Information, Physics, and Computation (Kaisa)
• Mostashari A.: Collaborative Modeling and Decision-making for Complex Energy Systems (Kaisa)
• Nakayama H. et al.: Sequential Approximate Multiobjective Optimization using Computational Intelligence (Kaisa)
• Neumann F. & Witt C.: Bioinspired Computationin Combinatorial Optimization – Algorithms and Their Computational Complexity (Kaisa)
• Nies A.: Computability and Randomness (Kaisa)
• Oxley J.: Matroid Theory Second Edition (Kaisa)
• Pardalos P.M., Romeijn H.E.: Nonconvex Optimization and Its Applications - Hardbook of Global Optimization volume 2 (Jussi)
• Paul W. H.: Model Building in Mathematical Programming (4th ed) (Kaisa)
• Paun G. et al. (Eds): The Oxford Handbook of Membrane Computing (Kaisa)
• Pistikopoulos E.N. (Eds): Energy System Engineering (Jussi)
• Pistikopoulos E.N. et al. (Eds): Supply Chain Optimization Part 1 (Jussi)
• Pistikopoulos E.N. et al. (Eds): Supply Chain Optimization Part 2 (Jussi)
• Pistikopoulos et al. (Eds): Multi-Parametric Model-Based Control (Jussi)
• Pistikopoulos et al. (Eds): Multi-Parametric Programming (Jussi)
• Pronzato L. & Zhigljavsky A.: Optimal Design and Related Areas in Optimization and Statistics
• Rangaiah Gade Pandu (Ed.): Multi-objective Optimization – Techniques and Applications in Chemical Engineering (Kaisa)
• Rawlings, M.: Model Predictive Control: Theory and Design
• Roff D. A.: Modeling Evolution - An Introduction to Numerical Methods (Kaisa)
• Rokach L., Maimon O.: Data Mining with Decision Trees: Theory and Applications (Kaisa)
• Rossi F: et al. (Eds): Handbook of Constraint Programming (Kaisa)
• Schuff D. et al. (Eds): Decision Support An Examination of the DSS Discipline (Kaisa)
• Sergeyev Y.D. et al.: Introduction to Global Optimization Exploiting Space-Filling Curves (Kaisa)
• Stone P.: The Luck of the Draw – The Role of Lotteries in Decision Making (Kaisa)
• Talbi E.-G.: Metaheuristics: From Design to Implementation (Jussi)
• Trzaskalik T. (Ed.): Multiple Criteria Decision Making ‘06 (Kaisa)
• Trzaskalik T. (Ed.): Multiple Criteria Decision Making ‘07 (Kaisa)
• Trzaskalik T. (Ed.): Multiple Criteria Decision Making ‘08 (Kaisa)
• Trzaskalik T. (Ed.): Multiple Criteria Decision Making ‘09 (Kaisa)
• Trzaskalik T. & Wachowics T. (Eds): Multiple Criteria Decision Making ‘10-11 (Kaisa)
• Van den Berg H.: Mathematical Models of Biological Systems (Kaisa)
• Wilson et al.: Advanced Mathematics and Mechanics Applications Using MATLAB (Kaisa)
• Wagner H.M.: Principles of Operations Research - With Applications to Managerial Decisions (Kaisa)
• Yaser et al.: Learning from Data: A Short Course (Kaisa)

Books from the Mattilanniemi library

• Cavazzuti M.: Optimization Methods: From Theory to Design: Scientific and Technological Aspects in Mechanics
• Dzemyda G. et al.: Multidimensional Data Visualization: Methods and Applications (Kaisa)
• Forrester A. et al.: Engineering Design via Surrogate Modelling: A Practical Guide (in the library)
• Jeyakumar V., Luc D.T.: Nonsmooth Vector Functions and Continuous Optimization (Kaisa)
• Keeney R.L., Raiffa H.: Decisions with Multiple Objectives: Preferences and Value Tradeoffs (Kaisa -> Juuso)
• Nocedal J., Wright S.J.: Numerical Optimization (Kaisa)
• Rao S.S.: Optimization Theory and Applications, 2nd ed (Kaisa)
• Silvazlian B.D., Stanfel L.E.: Optimization Techniques in Operations Research (Kaisa)
• Steuer R.E.: Multiple Criteria Optimization: Theory, Computation, and Applications (Kaisa->Juuso)
• Tenne Y., Goh C.-K. (Eds): Computational Intelligence in Expensive Optimization Problems (returned to library)
• Törn A., Zilinskas A.: Global Optimization (Kaisa)
• Yano H.: Interactive Multiobjective Decision Making under Uncertainty
• Yu P.-L.: Multiple-Criteria Decision Making: Concepts, Techniques and Extensions (Kaisa)

Books returned to the Mattilanniemi library

Bertsekas D.P.: Dynamic Programming - Deterministic and Stochastic Models

Bertsekas D.P.: Nonlinear Programming

Bertsimas D., Tsitsiklis J.N.: Introduction to Linear Optimization

Biegler L.T.: Nonlinear Programming: Concepts, Algorithms, and Applications to Chemical Processes

Chankong V., Haimes Y.Y.: Multiobjective Decision Making - Theory and Methology

Fletcher R.: Practival Methods of Optimization - Volume 1 Unconstrained Optimization

Fletcher R.: Practival Methods of Optimization - Volume 2 Constrained Optimization

Gill P.E. et al.: Practical Optimization

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Homepage of the Optimization Group

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Kaisa Miettinen, kaisa.miettinen at jyu.fi