Titlebook: Evolutionary Constrained Optimization; Rituparna Datta,Kalyanmoy Deb Book 2015 Springer India 2015 Computational Intelligence.Constrained

不要嚴(yán)酷

Indelible

amyloid

清真寺

Ruggedness Quantifying for Constrained Continuous Fitness Landscapes,tion problems from a theoretical perspective. Our goal is to understand how the fitness landscape influences the success of certain types of algorithms. One important feature for analyzing and classifying fitness landscape is its ruggedness. It is generally assumed that rugged landscapes make the op

FIS

Trust Regions in Surrogate-Assisted Evolutionary Programming for Constrained Expensive Black-Box Op The proposed algorithm, TRICEPS (Trust Regions In Constrained Evolutionary Programming using Surrogates) builds surrogates for the black-box objective function and inequality constraint functions in every generation of the EP and uses a trust-region-like approach to refine the best solution at the

最有利

有節(jié)制

MARS

Solace

Commodious

Locating Potentially Disjoint Feasible Regions of a Search Space with a Particle Swarm Optimizer,tion might be within any of them. Thus, locating these feasible regions (as many as possible, ideally all of them) is of great importance. In this chapter, we introduce niching techniques that have been studied in connection with multimodal optimization for locating feasible regions, rather than for