Standard Steady State Genetic Algorithms Can Hillclimb Faster Than Mutation-Only Evolutionary Algorithms (2018)

First Author: Corus D
Attributed to:  Rigorous Runtime Analysis of Bio-Inspired Computing funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/tevc.2017.2745715

Publication URI: http://dx.doi.org/10.1109/tevc.2017.2745715

Type: Journal Article/Review

Parent Publication: IEEE Transactions on Evolutionary Computation

Issue: 5