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Ant Colony Optimization and Constraint Programming

describes the ant colony optimization metaheuristic and illustrates its capabilities on different constraint satisfaction problems. The third part;

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Recent Advances in Computational Optimization

, based on new intelligent methods like evolutionary computations, ant colony optimization and constraint programming, and demonstrates how real;

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Optimization of PID Controllers Using Ant Colony and Genetic Algorithms

Artificial neural networks, genetic algorithms and the ant colony optimization algorithm have become a highly effective tool for solving;

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Optimisation in Signal and Image Processing

approach; hidden Markov models; and, metaheuristics (genetic algorithms, ant colony algorithms, cross-entropy, particle swarm optimization;

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Artificial Evolution

colony optimization, applications, combinatorial and discrete optimization, memetic algorithms, genetic programming, interactive evolution;

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Ant Colony Optimization and Applications

practitioners. The students and the researchers will acquire knowledge about ant colony optimization and its possible applications as well as;

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Ant Colony Optimization and Applications

practitioners. The students and the researchers will acquire knowledge about ant colony optimization and its possible applications as well as;

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Ant Colony Optimization

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Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems

This book constitutes the refereed proceedings of the Third International Conference on Integration of AI and OR Techniques in Constraint;

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Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems

This book constitutes the refereed proceedings of the 6th International Conference on Integration of AI and OR Techniques in Constraint;

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Improvised Energy Efficient Routing Protocol based on Ant Colony Optimization (ACO) for Wireless Sensor Networks

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Ant Colony Optimization

Ant Colony Optimization (ACO) is the best example of how studies intended at understanding and modeling the behavior of ants and other;

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Logic-Based Methods for Optimization

A pioneering look at the fundamental role of logic in optimization and constraint satisfaction While recent efforts to combine optimization;

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Recent Advances in Computational Optimization

algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming and others.;

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Integration of AI and OR Techniques in Constraint Programming for Combinatorial

This book constitutes the refereed proceedings of the 8th International Conference on Integration of AI and OR Techniques in Constraint;

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Optimization of Logistics

, genetic algorithms, ant colony optimization, etc.) are presented first. Then, new optimization methods are presented to solve systems design;

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Data Mining and Constraint Programming

to use data mining techniques in constraint programming to identify and update constraints and optimization criteria, but also to employ;

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Recent Advances in Computational Optimization

. It shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization;

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Quantitative Methods in Transportation

colony optimization, and bee colony optimization. The book is supported with problems and has a solutions manual to aid course instructors.;

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Quantitative Methods in Transportation

colony optimization, and bee colony optimization. The book is supported with problems and has a solutions manual to aid course instructors.;

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Integration of AI and OR Techniques in Constraint Programming

Research Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2016, held in Banff, Canada, in May/June 2016;

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Systems Engineering Using Particle Swarm Optimization

: ant colony optimisation and particle swarm optimisation. The former describes systems that have been engineered using ant colony optimisation;

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Metaheuristic Optimization

. Major nature-inspired algorithms discussed in this book include the bee colony algorithm, ant colony algorithm, grey wolf optimization algorithm;

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Decision Tree and Ensemble Learning Based on Ant Colony Optimization

good results typically achieved by the ant colony optimization algorithms when dealing with combinatorial optimization problems suggest the;

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Advances in Swarm Intelligence

; theories and models of swarm intelligence; ant colony optimization; particle swarm optimization; artificial bee colony algorithms; genetic;

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Optimization

programming, method of feasible directions, genetic algorithms, particle swarm optimization (PSO), simulated annealing, ant colony optimization, and;

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Mathematical Optimization Terminology

, extraction methods for uncertain inference rules by ant colony optimization, a benchmark test suite for evolutionary many-objective optimization, a;

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