Evolutionary Algorithms in Intelligent Systems

Evolutionary algorithms and metaheuristics are widely used to provide efficient and effective approximate solutions to computationally hard optimization problems. With the widespread use of intelligent systems in recent years, evolutionary algorithms have been applied, beyond classical optimization...

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Other Authors: Milani, Alfredo (Editor), Carpi, Arturo (Editor), Poggioni, Valentina (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
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Online Access:DOAB: download the publication
DOAB: description of the publication
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520 |a Evolutionary algorithms and metaheuristics are widely used to provide efficient and effective approximate solutions to computationally hard optimization problems. With the widespread use of intelligent systems in recent years, evolutionary algorithms have been applied, beyond classical optimization problems, to AI system parameter optimization and the design of artificial neural networks and feature selection in machine learning systems. This volume will present recent results of applications of the most successful metaheuristics, from differential evolution and particle swarm optimization to artificial neural networks, loT allocation, and multi-objective optimization problems. It will also provide a broad view of the role and the potential of evolutionary algorithms as service components in Al systems. 
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653 |a multi-objective optimization problems 
653 |a particle swarm optimization (PSO) 
653 |a Gaussian mutation 
653 |a improved learning strategy 
653 |a big data 
653 |a interval concept lattice 
653 |a horizontal union 
653 |a sequence traversal 
653 |a evolutionary algorithms 
653 |a multi-objective optimization 
653 |a parameter puning 
653 |a parameter analysis 
653 |a particle swarm optimization 
653 |a differential evolution 
653 |a global continuous optimization 
653 |a wireless sensor networks 
653 |a task allocation 
653 |a stochastic optimization 
653 |a social network optimization 
653 |a memetic particle swarm optimization 
653 |a adaptive local search operator 
653 |a co-evolution 
653 |a PSO 
653 |a formal methods in evolutionary algorithms 
653 |a self-adaptive differential evolutionary algorithms 
653 |a constrained optimization 
653 |a ensemble of constraint handling techniques 
653 |a hybrid algorithms 
653 |a association rules 
653 |a mining algorithm 
653 |a vertical union 
653 |a neuroevolution 
653 |a neural networks 
653 |a n/a 
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