To address the flexible assembly job shop scheduling problem, an improved differential evolution algorithm based on Q-Learning is proposed to optimize the makespan, the average product completion time ...

Opposition-based Learning (OBL) has been reported with an increased performance in enhancing various optimization approaches. Instead of investigating the opposite point of a candidate in OBL, this ...

Second, an improved multipopulation discrete differential evolution (IMPDE) algorithm is proposed to improve the searching efficiency. The novel algorithm integrates the framework of multipopulation ...

This algorithm combines the advantages of the conventional particle swarm optimization algorithm and the differential evolution algorithm, so as to enhance the global search ability and improve the ...

A novel modified multi-objective differential evolution algorithm was proposed to minimize material mass and margin strength of a flange couplings optimization system. Chaos operator was used to ...

Methods for Solving Constrained Single-Objective Optimization Problems This project explores the use of Genetic Algorithms (GA) and Differential Evolution (DE) for solving constrained single-objective ...

ABSTRACT: The Differential Evolution (DE) algorithm is arguably one of the most powerful stochastic optimization algorithms, which has been widely applied in various fields. Global numerical ...