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Artificial Bee Colony Algorithm With Mutation (ABCM)using Modified Sea

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Optimization of Type 2 Fuzzy Controllers Using the Bee Colony Algorithm

This book focuses on the fields of fuzzy logic, bio-inspired algorithm; especially bee colony optimization algorithm and also considering;

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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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Advances in Swarm Intelligence

; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithm; brain storm optimization algorithm; cuckoo searh;

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Advances in Swarm Intelligence

; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithm; brain storm optimization algorithm; cuckoo searh;

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

swarm optimization, artificial bee colony optimization, and cuckoo search algorithm. The design and analysis of these algorithms is studied by;

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Nature-Inspired Metaheuristic Algorithms

Modern metaheuristic algorithms such as bee algorithms and harmony search start to demonstrate their power in dealing with tough;

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Optimizing Engineering Problems through Heuristic Techniques

optimization, bee algorithm, firefly optimization, and cuckoo search Offers sample problems and their optimization, using various heuristic;

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Optimizing Engineering Problems through Heuristic Techniques

ant colony optimization, bee algorithm, firefly optimization, and cuckoo search Offers sample problems and their optimization, using;

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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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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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Evolutionary Machine Learning Techniques

, and the training algorithms for machine learning using classical and modern nature-inspired techniques. It also investigates the pros and cons;

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Evolutionary Machine Learning Techniques

types of artificial neural networks, including genetic algorithm, ant colony optimization, particle swarm optimization, grey wolf optimizer;

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Mathematical Foundations of Nature-Inspired Algorithms

algorithms include: swarm intelligence, ant colony optimization, particle swarm optimization, bee-inspired algorithms, bat algorithm, firefly;

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Honeybee Pests and Dieases

Using a mathematical model parameterized by recently collected data on bee viruses, the relationship between the mite load in a colony and;

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Computational Intelligence Optimization and Inverse Problems with Applications

. Other methods, such as the Flower Pollination Algorithm, Symbiotic Organisms Search, Cross-Entropy Algorithm, Artificial Bee Colonies;

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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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Honey Bees & Colony Collapse Disorder

honey bee colonies. Because of the severity and unusual circumstances of these colony declines, scientists named this phenomenon colony collapse;

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Optimization of Routing Algorithm for Wsn Using Aco

. Lifetime depends on energy wastage which can be reduced by using proper routing algorithm. In this work a routing algorithm is designed which;

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Path Planning Algorithms for Mobile Robots

A comparative analysis of three most commonly used path planning algorithms, i.e. A* Algorithm, Genetic Algorithm and Ant Colony;

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Honey Bees

Disorder (CCD). Reports indicate that beekeepers in 35 states have been affected. Overall, bee colony losses averaged about 30% in 2007. Reports;

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Swarm Intelligence

, flower pollination, artificial bee colony, wolf search, and gray wolf optimization algorithms. The book begins with a brief introduction to;

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Swarm Intelligence

, flower pollination, artificial bee colony, wolf search, and gray wolf optimization algorithms. The book begins with a brief introduction to;

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The Dark Side of the Hive

success, from the perspective of the individual worker in the colony. When one looks carefully, the honey bee colony is far from being perfect;

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