A Brief Introduction to Continuous Evolutionary Optimization - download pdf or read online

By Oliver Kramer

ISBN-10: 3319034219

ISBN-13: 9783319034218

Practical optimization difficulties are usually difficult to unravel, specifically once they are black packing containers and no extra information regarding the matter is accessible other than through functionality reviews. This paintings introduces a suite of heuristics and algorithms for black field optimization with evolutionary algorithms in non-stop answer areas. The publication offers an advent to evolution thoughts and parameter keep an eye on. Heuristic extensions are offered that permit optimization in restricted, multimodal and multi-objective resolution areas. An adaptive penalty functionality is brought for limited optimization. Meta-models lessen the variety of health and constraint functionality calls in pricey optimization difficulties. The hybridization of evolution thoughts with neighborhood seek permits quick optimization in resolution areas with many neighborhood optima. a range operator according to reference traces in goal house is brought to optimize a number of conflictive targets. Evolutionary seek is hired for studying kernel parameters of the Nadaraya-Watson estimator and a swarm-based iterative technique is gifted for optimizing latent issues in dimensionality relief difficulties. Experiments on common benchmark difficulties in addition to various figures and diagrams illustrate the habit of the brought strategies and methods.

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A Brief Introduction to Continuous Evolutionary Optimization (SpringerBriefs in Applied Sciences and Technology) by Oliver Kramer

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