The paper presents a new powerful technique to linearize the quadratic assignment problem. There are so many techniques available in literature that used In all these linear formulations, both number of variables and constraints significantly increase. problem (QAP) is well-known whereby set facilities allocated locations such way cost function distance flow between facilities. this problem, co...

Scheduling is an important tool in the manufacturing area since productivity is inherently linked to how well the resources are used to increase efficiency and reduce waste. The present article analyzes and provides comparison of modern techniques used for solving dynamic scheduling problem in flexible manufacturing system. These techniques are often impractical in dynamic real world environmen...

Dynamic flexible job shop scheduling (JSS) is a challenging combinatorial optimization problem due to its complex environment. In this problem, machine assignment and operation sequencing decisions need be made simultaneously under the dynamic environments. Genetic programming (GP), as hyperheuristic approach, has been successfully used evolve heuristics for JSS. However, in traditional GP, rec...

Nowdays, energy consumption as a critical issue in distributed computing systems with high performance has become so green computing tries to energy consumption, carbon footprint and CO2 emissions in high performance computing systems (HPCs) such as clusters, Grid and Cloud that a large number of parallel. Reducing energy consumption for high end computing can bring various benefits such as red...

This paper presents a new mathematical programming model for the bi-criteria mixed-model assembly line balancing problem in a just-in-time (JIT) production system. There is a set of criteria to judge sequences of the product mix in terms of the effective utilization of the system. The primary goal of this model is to minimize the setup cost and the stoppage assembly line cost, simultaneously. B...

This paper investigates the use of genetic programming in automatized synthesis of scheduling heuristics for an arbitrary performance criteria. The applied scheduling technique is priority scheduling, where the next state of the system is determined based on priority values of certain system elements. Genetic programming is used to create the priority function which, coupled with an appropriate...

in this paper, the flexible job shop scheduling problem with machine flexibility and controllable process times is studied. the main idea is that the processing times of operations may be controlled by consumptions of additional resources. the purpose of this paper to find the best trade-off between processing cost and delay cost in order to minimize the total costs. the proposed model, flexibl...

The great challenge of the agricultural sector is to produce more food and/or more revenue from less water, which can be achieved by optimal irrigation management. A task of primary importance is the problem of intraseasonal irrigation scheduling under limited seasonal water supply. On the intraseasonal level, a limited amount of water is to be distributed over a number of irrigations, taking i...

This paper considers a flexible flow shop scheduling problem, where at least one production stage is made up of unrelated parallel machines. Moreover, sequenceand machinedependent setup times are given. The objective is to find a schedule that minimizes a positively weighted convex sum of makespan and the number of tardy jobs in a static flexible flow shop environment. For this problem, a 0-1 m...

In this paper, established a mathematical model for multi-objective flexible scheduling problems, combined Pareto non-dominated sorting method, put forward a hybrid genetic algorithm based on improved DNA computation. To ensure the diversity of the optimal solution sets, designed RNA quaternary encoder mode and genetic operator based on improved DNA computation, adopted sub-area crossover and d...