EVOLUTIONARY COMPUTATION

Journal Title

EVOLUTIONARY COMPUTATION

EVOL COMPUT

ISSN / eISSN

1063-6560 / 1530-9304

Aims and Scope

Evolutionary Computation is a leading journal in its field. It provides an international forum for facilitating and enhancing the exchange of information among researchers involved in both the theoretical and practical aspects of computational systems drawing their inspiration from nature, with particular emphasis on evolutionary models of computation such as genetic algorithms, evolutionary strategies, classifier systems, evolutionary programming, and genetic programming. It welcomes articles from related fields such as swarm intelligence (e.g. Ant Colony Optimization and Particle Swarm Optimization), and other nature-inspired computation paradigms (e.g. Artificial Immune Systems). As well as publishing articles describing theoretical and/or experimental work, the journal also welcomes application-focused papers describing breakthrough results in an application domain or methodological papers where the specificities of the real-world problem led to significant algorithmic improvements that could possibly be generalized to other areas.

Subject Area

COMPUTER SCIENCE, THEORY & METHODS

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

CiteScore

6.40 View Trend

CiteScore Ranking

Category	Quartile	Rank
Mathematics - Computational Mathematics	Q1	#15/172

Web of Science Core Collection

Science Citation Index Expanded (SCIE)	Social Sciences Citation Index (SSCI)
Indexed	-

Category (Journal Citation Reports 2023)	Quartile
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE - SCIE	Q2
COMPUTER SCIENCE, THEORY & METHODS - SCIE	Q1

H-index

74

Country/Area of Publication

UNITED STATES

Publisher

MIT Press Journals

Publication Frequency

Quarterly

Year Publication Started

1993

Annual Article Volume

20

Open Access

NO

Contact

M I T PRESS, 238 MAIN STREET, STE 500, CAMBRIDGE, USA, MA, 02142-1046