3 citations · 4 across the 5 of their papers we have counts for
5 papers
PLAN: Parallel Liquid-Inspired Approximation Network for Efficient Representation Learning in Flexible Job Shop Scheduling
Dhivya Dharshini Kannan, Wei Zhang, Jieyi Bi +5
Deep reinforcement learning (DRL) approaches for flexible job shop scheduling (FJSP) heavily rely on attention-centric architectures to achieve state-of-the-art performance. Howeve…
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…
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…
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…
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…