5 papers
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…
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…
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…
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…
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…