Work

Runtime analysis of evolutionary algorithms: basic introduction

Year: 2014

Type: conference-paper

Source: Genetic and Evolutionary Computation Conference Companion (GECCO Companion)

DOI: 10.1145/2598394.2605345

Authors: Per Kristian Lehre, Pietro S. Oliveto

Institutions: University of Nottingham, University of Sheffield

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Engineering and Physical Sciences Research Council, Seventh Framework Programme

Awards: G405836512, Rigorous Runtime Analysis of Nature Inspired Meta-heuristics

OpenAlex ID: W4232664015

FWCI:

Cites: 18

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Related to: 10