A new approach for ranking fuzzy numbers by distance method
Fuzzy Sets and Systems
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Stability analysis of T-S fuzzy models for nonlinear multiple time-delay interconnected systems
Mathematics and Computers in Simulation
Parallel machine scheduling models with fuzzy processing times
Information Sciences—Informatics and Computer Science: An International Journal
Parallel machine selection and job scheduling to minimize machine cost and job tardiness
Computers and Operations Research
Computers and Operations Research
Stability conditions of fuzzy systems and its application to structural and mechanical systems
Advances in Engineering Software
Computers and Industrial Engineering
Evolutionary multiobjective optimization using an outranking-based dominance generalization
Computers and Operations Research
On the centroids of fuzzy numbers
Fuzzy Sets and Systems
Designing a model of FANP in brand image decision-making
Applied Soft Computing
Scheduling algorithms for a semiconductor probing facility
Computers and Operations Research
Journal of Intelligent Manufacturing
Stability analysis and robustness design of nonlinear systems: An NN-based approach
Applied Soft Computing
GA-based decoupled adaptive FSMC for nonlinear systems by a singular perturbation scheme
Neural Computing and Applications
Modeling, control, and stability analysis for time-delay TLP systems using the fuzzy Lyapunov method
Neural Computing and Applications
Computers and Operations Research
Sequence-dependent group scheduling problem on unrelated-parallel machines
Expert Systems with Applications: An International Journal
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Fuzzy Systems
Neural Computing and Applications - Special Issue on LSMS2010 and ICSEE 2010
Genetic algorithms for a two-agent single-machine problem with release time
Applied Soft Computing
A primary unit commitment approach with a modification process
Applied Soft Computing
Parallel machine scheduling to minimize the makespan with sequence dependent deteriorating effects
Computers and Operations Research
Hi-index | 0.00 |
This paper proposes a novel multi-objective model for an unrelated parallel machine scheduling problem considering inherent uncertainty in processing times and due dates. The problem is characterized by non-zero ready times, sequence and machine-dependent setup times, and secondary resource constraints for jobs. Each job can be processed only if its required machine and secondary resource (if any) are available at the same time. Finding optimal solution for this complex problem in a reasonable time using exact optimization tools is prohibitive. This paper presents an effective multi-objective particle swarm optimization (MOPSO) algorithm to find a good approximation of Pareto frontier where total weighted flow time, total weighted tardiness, and total machine load variation are to be minimized simultaneously. The proposed MOPSO exploits new selection regimes for preserving global as well as personal best solutions. Moreover, a generalized dominance concept in a fuzzy environment is employed to find locally Pareto-optimal frontier. Performance of the proposed MOPSO is compared against a conventional multi-objective particle swarm optimization (CMOPSO) algorithm over a number of randomly generated test problems. Statistical analyses based on the effect of each algorithm on each objective space show that the proposed MOPSO outperforms the CMOPSO in terms of quality, diversity and spacing metrics.