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Ant Colony Optimization
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Ant Colony Optimization and Constraint Programming
Ant colony optimization is a metaheuristic which has been successfully applied to a wide range of combinatorial optimization problems. The;
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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 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
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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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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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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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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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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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 Encounters
How do ant colonies get anything done, when no one is in charge? An ant colony operates without a central control or hierarchy, and no ant;
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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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Introduction to Nature-Inspired Optimization
optimization. Lindfield/Penny provide concise coverage to all the major algorithms, including genetic algorithms, artificial bee colony algorithms, ant;
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Ant Colonies
Ant colony optimisation is a population-based general-search technique that can be used for the solution of difficult combinatorial;
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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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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, Part I
, applications of pso algorithms, ant colony optimization algorithms, bee colony algorithms, novel swarm-based optimization algorithms, artificial immune;
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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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Classification Analysis of DNA Microarrays
involving particle swarm optimization and ant colony optimization.;
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Advances in Swarm Intelligence
optimization; particle swarm optimization; ant colony optimization; fireworks algorithms and brain storm optimization; swarm intelligence algorithms;
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