A new approach to some possibilistic linear programming problems
Fuzzy Sets and Systems
Open Shop Scheduling to Minimize Finish Time
Journal of the ACM (JACM)
An open shop scheduling problem with fuzzy allowable time and fuzzy resource constraint
Fuzzy Sets and Systems
Fuzzy Mathematical Programming: Methods and Applications
Fuzzy Mathematical Programming: Methods and Applications
Multiple Objective Optimization with Vector Evaluated Genetic Algorithms
Proceedings of the 1st International Conference on Genetic Algorithms
Design and Analysis of Experiments
Design and Analysis of Experiments
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Multiobjective optimization using dynamic neighborhood particle swarm optimization
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
A new particle swarm optimization for the open shop scheduling problem
Computers and Operations Research
Robotics and Computer-Integrated Manufacturing
A genetic algorithm for the proportionate multiprocessor open shop
Computers and Operations Research
Particle swarm optimization with preference order ranking for multi-objective optimization
Information Sciences: an International Journal
Group shops scheduling with makespan criterion subject to random release dates and processing times
Computers and Operations Research
Expert Systems with Applications: An International Journal
A planning and scheduling problem for an operating theatre using an open scheduling strategy
Computers and Industrial Engineering
Scheduling open shops with parallel machines to minimize total completion time
Journal of Computational and Applied Mathematics
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Minimizing the sum of weighted completion times in a concurrent open shop
Operations Research Letters
A hybrid meta-heuristic algorithm for optimization of crew scheduling
Applied Soft Computing
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We are concerned with an open shop scheduling problem having sequence-dependent setup times. A novel bi-objective possibilistic mixed-integer linear programming model is presented. Sequence-dependent setup times, fuzzy processing times and fuzzy due dates with triangular possibility distributions are the main constraints of this model. An open shop scheduling problem with these considerations is close to the real production scheduling conditions. The objective functions are to minimize total weighted tardiness and total weighted completion times. To solve small-sized instances for Pareto-optimal solutions, an interactive fuzzy multi-objective decision making (FMODM) approach, called TH method proposed by Torabi and Hassini, is applied. Using this method, an equivalent auxiliary single-objective crisp model is obtained and solved optimally by the Lingo software. For medium to large size examples, a multi-objective particle swarm optimization (MOPSO) algorithm is proposed. This algorithm consists of a decoding procedure using a permutation list to reduce the search area in the solution space. Also, a local search algorithm is applied to generate good initial particle positions. Finally, to evaluate the effectiveness of the MOPSO algorithm, the results are compared with the ones obtained by the well-known SPEA-II, using design of experiments (DOE) based on some performance metrics.