74 citations · 79 across the 3 of their papers we have counts for
3 papers
cs.DC2019★ 5 cited
A Survey on Parallel Genetic Algorithms for Shop Scheduling Problems
Jia Luo, Didier El Baz
There have been extensive works dealing with genetic algorithms (GAs) for seeking optimal solutions of shop scheduling problems. Due to the NP hardness, the time cost is always hea…
cs.DC2019★ 74 cited
GPU based parallel genetic algorithm for solving an energy efficient dynamic flexible flow shop scheduling problem
Jia Luo, Shigeru Fujimura, Didier El Baz
Due to new government legislation, customers' environmental concerns and continuously rising cost of energy, energy efficiency is becoming an essential parameter of industrial manu…
cs.DC2019
A Dual Heterogeneous Island Genetic Algorithm for Solving Large Size Flexible Flow Shop Scheduling Problems on Hybrid multi-core CPU and GPU Platforms
Jia Luo, Didier El Baz
The flexible flow shop scheduling problem is an NP-hard problem and it requires significant resolution time to find optimal or even adequate solutions when dealing with large size…