Work

Runtime analysis of evolutionary algorithms: basic introduction

Year: 2013

Type: conference-paper

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

DOI: 10.1145/2464576.2482679

Authors: Per Kristian Lehre, Pietro S. Oliveto

Institutions: University of Nottingham, University of Birmingham

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Engineering and Physical Sciences Research Council

Award: Rigorous Runtime Analysis of Nature Inspired Meta-heuristics

OpenAlex ID: W1982241632

FWCI: 0.224

Cites: 39

Cited by: 1

Related to: 10