Nature-inspired metaheuristic algorithms for optimization
Nitin Uniyal, Sangeeta Pant, Anuj Kumar, Prashant Pant
Abstract
With the advancement of technologies in engineering science, there has always been an advent of optimization for further refinement. Albeit not abruptly but still with considerable consistency, multi-objective metaheuristic optimization methods extend their roots in almost all complex engineering problems. This chapter gives an overview of the most interesting class, that is, nature-inspired optimization algorithms evolved in due course of time and inspiration from nature. A mathematical analysis is kept prominent in all sections for a better understanding of the method to the young researchers.
Topics & Concepts
MetaheuristicParallel metaheuristicConsistency (knowledge bases)Computer scienceEngineering optimizationMathematical optimizationOptimization algorithmOptimization problemAlgorithmArtificial intelligenceMathematicsMeta-optimizationMetaheuristic Optimization Algorithms ResearchProcess Optimization and Integration