نتایج جستجو برای: heuristic differential evolution algorithm is developed for solving real
تعداد نتایج: 12387136 فیلتر نتایج به سال:
in this paper the conditional location problem is discussed. conditional location problems have a wide range of applications in location science. a new meta-heuristic algorithm for solving conditional p-median problems is proposed and results are compared to those of the previous studies. this algorithm produces much better results than the previous formulations.
one of the most important goals for increasing recognition and treatment revenue is transmitting vital data to medical care team, more quickly. nowadays, use of new technologies for transmitting data will deploy more and more daily. in this article, for transmitting electrocardiogram, first we code the signal into a suite of codes, then we will use bluetooth technology to transmit data from off...
The time consumption in solving computationally heavy problems has always been a concern for computer programmers. Due to simplicity of its implementation, the PSO (Particle Swarm Optimization) is a suitable meta-heuristic algorithm for solving computationally heavy problems. However, despite the simplicity, the algorithm is inefficient for solving real computationally heavy problems but the pr...
Urban transportation is one of the most important issues of urban life especially in big cities. Urban development, and subsequently the increase of routes and communications, make the role of transportation science more pronounced. The shortest path problem in a network is one of the most basic network analysis issues. In fact, finding answers to this question is necessity for higher level ana...
We present several heuristic algorithms based on tabu search for solving the multi-stage sequence-dependent group scheduling (SDGS) problem by considering minimization of makespan as the criterion. As the problem is recognized to be strongly NP-hard, several meta (tabu) search-based solution algorithms are developed to efficiently solve industry-size problem instances. Also, two different initi...
Transportation sector generates a considerable part of each nation's gross domestic product and considered among the largest consumers of oil products in the world. This paper proposes a heuristic method for the vehicle routing problem with hard time windows while incorporating the costs of fuel, driver, and vehicle. The proposed heuristic uses a novel speed optimization algorithm to reach its ...
Creature evolution manifests itself in the improved ability of species to adapt to their surroundings. Swarm intelligence and gene optimization are found in the population of interacting agents that are able to self-organize and self-strengthen. In this study, a new gene-based algorithm for constrained optimization problems is proposed and called ''bac-terial gene recombination algorithm'' (BGR...
target tracking is the tracking of an object in an image sequence. target tracking in image sequence consists of two different parts: 1- moving target detection 2- tracking of moving target. in some of the tracking algorithms these two parts are combined as a single algorithm. the main goal in this thesis is to provide a new framework for effective tracking of different kinds of moving target...
Nature-inspired search algorithms have proved to be successful in solving real-world optimization problems. Firefly algorithm is a novel meta-heuristic algorithm which simulates the natural behavior of fireflies. In the present study, optimum design of truss structures with both sizing and geometry design variables is carried out using the firefly algorithm. Additionally, to improve the efficie...
Background: One of important subject in the operations' management fields is partitioning matter that was investigated in the study. This topic has recently received more attention from researchers of the healthcare management systems' field. This subject is important because planning about improvement of the healthcare system structure is considered as one of the most important management prob...
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