نتایج جستجو برای: meta heuristic algorithms

تعداد نتایج: 524177  

A. Kaveh, Y. Vazirinia,

Tower cranes are major and expensive equipment that are extensively used at building construction projects and harbors for lifting heavy objects to demand points. The tower crane locating problem to position a tower crane and supply points in a building construction site for supplying all requests in minimum time, has been raised from more than twenty years ago. This problem has already been so...

Journal: :international journal of supply and operations management 2015
abolfazl kazemi vahid khezrian mahsa oroojeni mohammad javad alireza alinezhad

in this study, a bi-objective model for integrated planning of production-distribution in a multi-level supply chain network with multiple product types and multi time periods is presented. the supply chain network including manufacturers, distribution centers, retailers and final customers is proposed. the proposed model minimizes the total supply chain costs and transforming time of products ...

Vehicle Routing Problem with Time Windows (VRPTW) is an NP-Complete Optimization Problem. Even finding an optimal solution for small size problems is too hard and time-consuming. The objective of VRPTW is to use a fleet of vehicles with specific capacity to serve a number of customers with dissimilar demands and time window constraints at minimum cost, without violating the capacity and time wi...

Mashhadi Mohammad Reza , N., Omranpour, H.,

One of the most important issues in engineering is to find the optimal global points of the functions used. It is not easy to find such a point in some functions due to the reasons such as large number of dimensions or inability to derive them from the function. Also in engineering modeling, we do not have the relationships of many functions, but we can input and output them as a black box. The...

ژورنال: علوم آب و خاک 2022

Accurate prediction of pore water pressure in the body of earth dams during construction with accurate methods is one of the most important components in managing the stability of earth dams. The main objective of this research is to develop hybrid models based on fuzzy neural inference systems and meta-heuristic optimization algorithms. In this regard, the fuzzy neural inference system and opt...

Journal: :journal of advances in computer research 2014
ahmad esfandiari

optimization of cutting conditions is a non-linear optimization with constraint and it is very important to the increase of productivity and the reduction of costs. in recent years, several evolutionary and meta-heuristic optimization algorithms were introduced. the cuckoo optimization algorithm (coa) is one of several recent and powerful meta-heuristics which is inspired by the cuckoos and the...

A. Kaveh, R. Sheikholeslami,

This article presents a comprehensive review of chaos embedded meta-heuristic optimization algorithms and describes the evolution of this algorithms along with some improvements, their combination with various methods as well as their applications. The reported results indicate that chaos embedded algorithms may handle engineering design problems efficiently in terms of precision and convergenc...

A. Baghchevan, H. Asadi , S. Gholizadeh ,

The main aim of the present paper is to propose efficient multi-objective optimization algorithms (MOOAs) to tackle truss structure optimization problems. The proposed meta-heuristic algorithms are based on the firefly algorithm (FA) and bat algorithm (BA), which have been recently developed for single-objective optimization. In order to produce a well distributed Pareto front, some improvement...

Journal: :International Journal of Engineering and Technology 2020

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