This paper presents a new mathematical model for a hybrid flow shop scheduling problem with multiprocessor tasks in which sequence dependent set up times and preemption are considered. The objective is to minimize the weighted sum of makespan and maximum tardiness. Three meta-heuristic methods based on genetic algorithm (GA), imperialist competitive algorithm (ICA) and a hybrid approach of GA a...

in this paper proposes a fuzzy multi-objective hybrid genetic and bee colony optimization algorithm(ga-bco) to find the optimal restoration of loads of power distribution network under fault.restoration of distribution systems is a complex combinatorial optimization problem that should beefficiently restored in reasonable time. to improve the efficiency of restoration and facilitate theactivity...

In this paper it is analysed the application of the selfish gene theory using a fusion of concepts proposed in memetic algorithms and selfish gene algorithms. The selfish gene ideas are applied to hierarchical genetic algorithm (HGA) with age structure previously developed by the author. First of all it is analysed the memetic features mainly the learning procedures of the HGA. Secondly, the se...

Gate and yard congestion is a typical type of container port congestion, which prevents trucks from traveling freely has become the bottleneck that constrains productivity. In addition, urban traffic increases uncertainty truck arrival time additional costs. More more terminals are adopting appointment system (TAS), tries to manage arrivals evenly all day long. Extending existing research, this...

In this article, equipment overhaul is considered in a multi-stage flow shop scheduling problem. problem, the equipments are disassembled first stage, and repairs done on parallel workshops second assembly operation third stage. Considering three-stage with machines stages new industry. The sequence of processing determined as well allocation should be such way that total completion time jobs m...

OBJECTIVES Alkaptonuria (AKU) is a genetic disorder caused by lack of the enzyme responsible for breaking down homogentisic acid (HGA), an intermediate in tyrosine metabolism. HGA is deposited as a polymer, termed ochronotic pigment, in collagenous tissues. Pigmentation is progressive over many years, leading to CTDs including severe arthropathies. To investigate the mechanism of pigmentation a...

this paper investigates the problem of just-in-time permutation flow shop scheduling with limited buffers and linear job deterioration in an uncertain environment. the fuzzy set theory is applied to describe this situation. a novel mixed-integer nonlinear program is presented to minimize the weighted sum of fuzzy earliness and tardiness penalties. due to the computational complexities, the prop...

A genetic algorithm (GA) is an optimization method based on natural selection. Genetic algorithms have been applied to many hard optimization problems including VLSI layout optimization, boolean satis ability, power system control, fault detection, control systems, and signal processing. GAs have been recognized as a robust general-purpose optimization technique. But application of GAs to incre...

  In this paper flexible job-shop scheduling problem (FJSP) is studied in the case of optimizing different contradictory objectives consisting of: (1) minimizing makespan, (2) minimizing total workload, and (3) minimizing workload of the most loaded machine. As the problem belongs to the class of NP-Hard problems, a new hybrid genetic algorithm is proposed to obtain a large set of Pareto-optima...