نتایج جستجو برای: meta heuristics algorithm
تعداد نتایج: 924855 فیلتر نتایج به سال:
This paper considers a non-identical parallel machine scheduling problem with sequence and machine dependent setup times. The objective of this problem is to determine the allocation of jobs and the scheduling of each machine to minimize makespan. A mathematical model for optimal solution is derived. An in-depth analysis of the model shows that it is very complicated and difficult to obtain opt...
Artificial immune system (AIS) is one of the most meta-heuristic algorithms to solve complex problems. With a large number of data, creating a rapid decision and stable results are the most challenging tasks due to the rapid variation in real world. Clustering technique is a possible solution for overcoming these problems. The goal of clustering analysis is to group similar objects. AIS algor...
The purpose of this research is to develop a dynamic regression model for prediction of future operating cash flows of firms accepted in Tehran Stock Exchange. So, the information of 250 companies were considered during 2004 to 2017. In this study, operational and economic variables were added to the fundamental model of Bart, Cram and Nelson (BCN). Due to the simultaneous effect of sales growt...
In this paper, we present a comparative study of static and dynamic heuristics for inlining. We introduce inlining plans as a formal representation for nested inlining decisions made by an inlining heuristic. We use a well-known approximation algorithm for the knapsack problem as a common \meta-algorithm" for the static and dynamic inlining heuristics studied in this paper. We present performan...
This paper presents a new mathematical programming model for an integrated production and air transportation in supply chain management with sequence-dependent setup times in order to design an applied procedure for the production and distribution schedule. The aim of this model is to minimize the total supply chain cost consisting of the costs of distribution, production earliness and tardines...
This paper presents a new mathematical programming model for an integrated production and air transportation in supply chain management with sequence-dependent setup times in order to design an applied procedure for the production and distribution schedule. The aim of this model is to minimize the total supply chain cost consisting of the costs of distribution, production earliness and tardines...
We develop a generic tabu search heuristic for solving the well-known vehicle routing problem. This algorithm explores the advantages of simple local search and improvement heuristics as well as a complex meta-heuristic. The solutions generated by these heuristics are selected and assembled by a set-partitioning model to produce superior solutions. Computational experience on standard benchmark...
Bridging the gap between simulation and reality for successful micro-grid (MG) implementation requires accurate mathematical modelling of underlying energy infrastructure extensive optimisation design space defined by all possible combinations size equipment. While exact approaches to MG capacity planning are highly computationally efficient, they often fail preserve associated problem nonlinea...
In some industries as foundries, it is not technically feasible to interrupt a processor between jobs. This restriction gives rise to a scheduling problem called no-idle scheduling. This paper deals with scheduling of no-idle open shops to minimize maximum completion time of jobs, called makespan. The problem is first mathematically formulated by three different mixed integer linear programming...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید