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In the last few years, the society is witnessing ever-growing levels of complexity in the optimization paradigms lying at the core of different applications and processes. This augmented complexity has motivated the adoption of heuristic methods as a means to balance the Pareto trade-off between computational efficiency and the quality of the produced solutions to the problem at hand. The momentum gained by heuristics in practical applications spans further towards hyper-heuristics, which allow constructing ensembles of simple heuristics to handle efficiently several problems of a single class. In this context, this short book compiles selected applications of heuristics and hyper-heuristics for combinatorial optimization problems, including scheduling and other assorted application scenarios.

Heuristic algorithms. --- Heuristics (Computer algorithms) --- Computer algorithms --- Physical Sciences --- Engineering and Technology --- Algorithm Analysis --- Computer and Information Science --- Computer Science and Engineering

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This volume collects almost two decades of joint work of Sergiu Hart and Andreu Mas-Colell on game dynamics and equilibria. The starting point was the introduction of the adaptive strategy called regret-matching, which on the one hand is simple and natural, and on the other is shown to lead to correlated equilibria. This initial finding - boundedly rational behavior that yields fully rational outcomes in the long run - generated a large body of work on the dynamics of simple adaptive strategies. In particular, a natural condition on dynamics was identified: uncoupledness, whereby decision-make

Games of strategy (Mathematics) --- Heuristic algorithms. --- Heuristics (Computer algorithms) --- Computer algorithms --- Games with rational pay-off (Mathematics) --- Rational games (Mathematics) --- Strategy, Games of (Mathematics) --- Game theory --- Group theory --- Mathematical optimization --- Matrices --- Topology --- Heuristic algorithms

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"The book presents an introduction to, and an authoritative guide, for anyone interested in the problem of probabilistic inference in the presence of symmetries/structured models"--

Probabilities. --- Artificial intelligence. --- Heuristic algorithms. --- Heuristics (Computer algorithms) --- Computer algorithms --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk

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This book is the first comprehensive tutorial on matheuristics. Matheuristics are based on mathematical extensions of previously known heuristics, mainly metaheuristics, and on original, area-specific approaches. This tutorial provides a detailed discussion of both contributions, presenting the pseudocodes of over 40 algorithms, abundant literature references, and for each case a step-by-step description of a sample run on a common Generalized Assignment Problem example. C++ source codes of all algorithms are available in an associated SW repository.

Heuristic algorithms. --- Heuristics (Computer algorithms) --- Computer algorithms --- Production management. --- Operations research. --- Management science. --- Algorithms. --- Computer science --- Mathematical optimization. --- Operations Management. --- Operations Research, Management Science . --- Mathematical Applications in Computer Science. --- Optimization. --- Mathematics. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Computer mathematics --- Electronic data processing --- Mathematics --- Algorism --- Algebra --- Arithmetic --- Quantitative business analysis --- Management --- Problem solving --- Statistical decision --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Manufacturing management --- Industrial management --- Foundations

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Metaheuristics exhibit desirable properties like simplicity, easy parallelizability, and ready applicability to different types of optimization problems such as real parameter optimization, combinatorial optimization, and mixed integer optimization. They are thus beginning to play a key role in different industrially important process engineering applications, among them the synthesis of heat and mass exchange equipment, synthesis of distillation columns, and static and dynamic optimization of chemical and bioreactors. This book explains cutting-edge research techniques in related computational intelligence domains and their applications in real-world process engineering. It will be of interest to industrial practitioners and research academics.

Computer science. --- Chemical engineering. --- Artificial intelligence. --- Computational intelligence. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Computational Intelligence. --- Industrial Chemistry/Chemical Engineering. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Chemistry, Industrial --- Engineering, Chemical --- Industrial chemistry --- Engineering --- Chemistry, Technical --- Metallurgy --- Informatics --- Science --- Heuristic algorithms. --- Heuristics (Computer algorithms) --- Computer algorithms --- Engineering. --- Artificial Intelligence. --- Construction --- Industrial arts --- Technology