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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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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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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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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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Advances in Swarm Intelligence

swarm-based optimization algorithms; particle swarm optimization; applications of particle swarm optimization; ant colony optimization;

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Advances in Swarm Intelligence

swarm-based optimization algorithms; particle swarm optimization; applications of particle swarm optimization; ant colony optimization;

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Artificial Evolution

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

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Advances in Swarm Intelligence, Part I

, applications of pso algorithms, ant colony optimization algorithms, bee colony algorithms, novel swarm-based optimization algorithms, artificial immune;

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Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes

various algorithms that include the genetic algorithm, simulated annealing, differential evolution, ant colony optimization, tabu search, particle;

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Ant Colonies

, depositing a chemical substance (called pheromone), en-route and subsequently forming trails which can then be followed by other ants in the colony;

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Advances in Swarm Intelligence

Optimization; Particle Swarm Optimization; Ant Colony Optimization; Differential Evolution; Genetic Algorithm and Evolutionary Computation; Fireworks;

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Advances in Swarm Intelligence

computing; swarm-based computing algorithms for optimization; particle swarm optimization; ant colony optimization; brain storm optimization;

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Metaheuristic and Evolutionary Computation Algorithms and Applications

metaheuristics tools and techniques such as ant colony optimization and Tabu search, and their applications to several classes of optimization problems;

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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

applications; hybrid search optimization; particle swarm optimization; PSO applications; ant colony optimization; brain storm optimization; fireworks;

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Advances in Swarm Intelligence

applications; hybrid search optimization; particle swarm optimization; PSO applications; ant colony optimization; brain storm optimization; fireworks;

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Evolutionary Data Clustering

algorithms used to data clustering, including particle swarm optimization, ant colony optimization, grey wolf optimizer, salp swarm algorithm, multi;

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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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Advances in Swarm and Computational Intelligence

-based optimization algorithms and applications; particle swarm opt8imization; ant colony optimization; artificial bee colony algorithms;

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Advances in Swarm and Computational Intelligence

-based optimization algorithms and applications; particle swarm opt8imization; ant colony optimization; artificial bee colony algorithms;

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Advances in Swarm and Computational Intelligence

-based optimization algorithms and applications; particle swarm opt8imization; ant colony optimization; artificial bee colony algorithms;

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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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Einde inhoud

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