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Cited by 369

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Two improved differential evolution schemes for faster global search

Das, Swagatam, Konar, Amit, Chakraborty, Uday K.·2005·Proceedings of the 7th annual conference on Genetic and evolutionary computation

Abstract

Differential evolution (DE) is well known as a simple and efficient scheme for global optimization over continuous spaces. In this paper we present two new, improved variants of DE. Performance comparisons of the two proposed methods are provided against (a) the original DE, (b) the canonical particle swarm optimization (PSO), and (c) two PSO-variants. The new DE-variants are shown to be statistically significantly better on a seven-function test bed for the following performance measures: solution quality, time to find the solution, frequency of finding the solution, and scalability.

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Metadata

Authors
Das, S., Konar, A., & Chakraborty, U. K.
Venue
Proceedings of the 7th annual conference on Genetic and evolutionary computation
Publisher
ACM
Published
2005-06-25
Pages
991-998
OpenAlex
W2163845190
Cited by
369
References
12
FWCI
8.35
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Two improved differential evolution schemes for faster global search. https://app.cochat.ai/papers/10.1145/1068009.1068177
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Das, S., Konar, A., & Chakraborty, U. K. (2005). Two improved differential evolution schemes for faster global search. Proceedings of the 7th annual conference on Genetic and evolutionary computation. https://doi.org/10.1145/1068009.1068177

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.