location-allocation is a combinatorial optimization problem, and is defined as non deterministic polynomial hard (np) hard optimization. therefore, solution of such a problem should be shifted from exact to heuristic or meta heuristic due to the complexity of the problem. locating medical centers and allocating injuries of an earthquake to them has high importance in earthquake disaster managem...

Many authors have examined lot sizing, scheduling and sequence of multi-product flow shops, but most of them have assumed that set up times are independent of sequence. Whereas dependence of set up times to sequence is more common in practice. Hence, in this paper, we examine the discussed problem with hypothesis of dependence of set up times to sequence and cyclic schedule policy in basic peri...

according to the current state of water resources and the increasing demand for water, the supply of future needs will be faced with serious constraints. on the one hand, the failure to supply sometimes causes social and political problems. on the other hand, improper exploitation of water resources will lead to irreparable damages. therefore, the use of optimization models for the planning of ...

Optimization of machining parameters is a vital task for increasing machining efficiency and economics. Selection of optimal machining parameters is often performed by integrating empirical models with traditional mathematical and meta-heuristic algorithms. Ability to deal with complex and multi-dimensional optimization problems resulted in growing interest on the application of meta-heuristic ...

The purpose of this article is to review the literature on the topic of deterministic vehicle routing problem (VRP) and to give a review on the exact and approximate solution techniques. More specifically the approximate (meta-heuristic) solution techniques are classified into: tabu search, simulated annealing, genetic algorithm, evolutionary algorithm, hybrid algorithm, and Ant Colony Opti...

Many recent planning heuristics are based on LP optimization. However, planning experts mostly use LP solvers as a black box and it is often not obvious to them which LP techniques would be most suitable for their specific applications. To foster the communication between the planning and the optimization community, this paper gives an easily accessible overview over these recent LP-based heuri...

The development of modern wide-area power systems, as well as recent trends towards the creation of sustainable energy systems have given birth to complex studies addressing technical, but also economical and environmental, aspects related to simple or multi-objective optimization problems. Recently, heuristic and metaheuristic approaches that apply combinations of different heuristics with or ...

Although it is seriously under-represented in most academic programs, heuristic optimization|optimumseeking methods explicitly aimed at good feasible solutions that may not be optimal|comprises most of the optimizationwork actually applied in industrial engineering practice. This tutorial surveys such optimization-based strategies for approximate integer and combinatorial optimization with emph...

In this paper, Optimization is considered as the main impact of insight problem and heuristic methods. A proposed method is represented by using two optimization algorithms; cuckoo optimization; is heuristic method and Genetic algorithm; is meta-heuristic method in order to increase the optimization level and speed of calculation as possible. The proposed methodology and technique still a subje...