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20242026
most citedLearning Strategies in Particle Swarm Optimizer: A Critical Review and Performance Analysis

40 citations · 44 across the 6 of their papers we have counts for

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6 papers · 1 filter

cs.NE2026

DE-2LS: Differential Evolution with Lightweight Late Local Search for Constrained Numerical Optimization

Dikshit Chauhan, Anupam Trivedi

Constrained single-objective numerical optimization requires a careful balance among feasibility, objective convergence, and computational efficiency under a fixed function-evaluat…

cs.NE2026

DE-2LS: Differential Evolution with Late-Stage local-search for Unconstrained Single-Objective Numerical Optimization

Dikshit Chauhan

Unconstrained single-objective numerical optimization requires a careful balance among global exploration, late-stage exploitation, and function-evaluation efficiency. This paper p…

cs.NE2026

RDEx-CASK: Cauchy Mutation, Archive, and Stagnation Kick for RDEx-CSOP

Dikshant, Dikshit Chauhan, Chen Hao +3

We extend RDEx-CSOP with 3 changes that target stagnation & late-stage variance, plus minor parameter tuning. The second scale factor in the standard branch is sampled independentl…

cs.NE2025★ 40 cited

Learning Strategies in Particle Swarm Optimizer: A Critical Review and Performance Analysis

Dikshit Chauhan, Shivani, P. N. Suganthan

Nature has long inspired the development of swarm intelligence (SI), a key branch of artificial intelligence that models collective behaviors observed in biological systems for sol…

cs.NE2024★ 1 cited

UDE-III: An Enhanced Unified Differential Evolution Algorithm for Constrained Optimization Problems

Anupam Trivedi, Dikshit Chauhan

In this paper, an enhanced unified differential evolution algorithm, named UDE-III, is presented for real parameter-constrained optimization problems (COPs). The proposed UDE-III i…

cs.NE2024★ 3 cited

A Multi-operator Ensemble LSHADE with Restart and Local Search Mechanisms for Single-objective Optimization

Dikshit Chauhan, Anupam Trivedi, Shivani

In recent years, multi-operator and multi-method algorithms have succeeded, encouraging their combination within single frameworks. Despite promising results, there remains room fo…