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Emerging Research on Swarm Intelligence and Algorithm Optimization

intelligence. >Emerging Research on Swarm Intelligence and Algorithm Optimization discusses current research analyzing how the collective behavior;

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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

of swarm intelligence research; novel swarm-based optimization algorithms; swarming behaviour; some swarm intelligence algorithms and their;

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Advances in Swarm Intelligence

of swarm intelligence research; novel swarm-based optimization algorithms; swarming behaviour; some swarm intelligence algorithms and their;

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Advances in Swarm Intelligence

; and firefly algorithm. Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm;

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Advances in Swarm Intelligence

; and firefly algorithm. Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm;

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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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Recent Advances in Swarm Intelligence and Evolutionary Computation

, hybrid metaheuristic algorithms, bat algorithm, discrete cuckoo search, firefly algorithm, particle swarm optimization, and harmony search as;

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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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Tuning Innovation with Biotechnology

This book deals with evolving intelligence systems and their use in immune algorithm (IM), particle swarm optimization (PSO), bacterial;

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Nature-Inspired Computation and Swarm Intelligence

algorithms and their fundamentals, including: particle swarm optimization, bat algorithm, cuckoo search, firefly algorithm, flower pollination;

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Particle Swarm Optimization

Particle swarm optimisation (PSO) is an algorithm modelled on swarm intelligence that finds a solution to an optimisation problem in a;

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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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Swarm Intelligence Based Optimization

learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles; adaptation and applications;

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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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Advances in Swarm Intelligence

optimization; particle swarm optimization; ant colony optimization; fireworks algorithms and brain storm optimization; swarm intelligence algorithms;

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Swarm Intelligence: Principles, current algorithms and methods

on the research of collective behaviours of a swarm in nature and/or social phenomenon to solve complicated and difficult problems which;

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Swarm Intelligence Algorithms

provide the basics for understanding how swarm intelligence algorithms work, and aid readers in programming these algorithms on their own to solve;

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Swarm Intelligence Algorithms

provide the basics for understanding how swarm intelligence algorithms work, and aid readers in programming these algorithms on their own to solve;

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AI and SWARM

This book provides theoretical and practical knowledge on AI and swarm intelligence. It provides a methodology for EA (evolutionary;

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AI and SWARM

This book provides theoretical and practical knowledge on AI and swarm intelligence. It provides a methodology for EA (evolutionary;

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Evolutionary Computing and Mobile Sustainable Networks

This book features selected research papers presented at the International Conference on Evolutionary Computing and Mobile Sustainable;

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Applications of Flower Pollination Algorithm and its Variants

find optimal solution for a variety of real-world engineering and medical problems. Swarm intelligence-based meta-heuristic algorithms are;

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Applications of Bat Algorithm and its Variants

in 2009, the bat algorithm (BA) is one of the most successful swarm intelligence procedures, and has been used to tackle optimization tasks for;

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Mathematical Foundations of Nature-Inspired Algorithms

This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an introduction to optimization methods and;

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