Nature-Inspired Optimization Algorithms
Aditya Khamparia, Ashish Khanna, Gia Nhu Nguyen, Bao Nguyen, Walter de Gruyter GmbH & Co. KG
Abstract
This book discusses standard and very recent nature-inspired optimization algorithms.It consists of 263 pages and contains 15 chapters and two appendices.The book focuses on the description of the basic algorithms, analyzes some key components of these algorithms and discusses briefly some key steps in their implementation.A typical chapter about a particular type of algorithm has about 10 to 15 pages.Each chapter finishes with some references.
Topics & Concepts
Computer scienceNatural computingEvolutionary computationSwarm intelligenceArtificial intelligenceMetaheuristicOptimization problemHeuristicEvolutionary algorithmBig dataSoft computingComputational intelligenceData scienceArtificial neural networkMachine learningTheoretical computer scienceParticle swarm optimizationAlgorithmData miningMetaheuristic Optimization Algorithms Research