نتایج جستجو برای: location routing problem multi objective optimization

تعداد نتایج: 2156113  

Journal: :CoRR 2011
Imen Harbaoui Dridi Ryan Kammarti Pierre Borne Mekki Ksouri

The PDPTW is an optimization vehicles routing problem which must meet requests for transport between suppliers and customers satisfying precedence, capacity and time constraints. We present, in this paper, a genetic algorithm for multi-objective optimization of a dynamic multi pickup and delivery problem with time windows (Dynamic m-PDPTW). We propose a brief literature review of the PDPTW, pre...

Journal: :journal of operation and automation in power engineering 2007
r. ghanizadeh a. jahandideh shendi m. ebadian m. golkar a. ajami

in this paper, a novel compensator based on magnetically controlled reactor with fixed capacitor banks (fc-mcr) is introduced and then power system stability in presence of this compensator is studied using an intelligent control method. the problem of robust fc-mcr-based damping controller design is formulated as a multi-objective optimization problem. the multi-objective problem is concocted ...

Journal: :Computer systems science and engineering 2023

A Mobile Ad hoc Network (MANET) is a group of low-power consumption wireless mobile nodes that configure network without the assistance any existing infrastructure/centralized organization. The primary aim MANETs to extend flexibility into self-directed, mobile, and domain, in which cluster autonomous forms MANET routing system. An Intrusion Detection System (IDS) tool examines for malicious be...

Journal: :Complex system modeling and simulation 2023

At present, home health care (HHC) has been accepted as an effective method for handling the healthcare problems of elderly. The HHC scheduling and routing problem (HHCSRP) attracts wide concentration from academia industrial communities. This work proposes HHCSRP considering several centers, where a group customers (i.e., patients elderly) require being assigned to centers. Then, various kinds...

2008
Juan Pedro Castro Gutiérrez Dario Landa Silva José A. Moreno-Pérez

This paper investigates the ability of a discrete particle swarm optimization algorithm (DPSO) to evolve solutions from infeasibility to feasibility for the Vehicle Routing Problem with Time Windows (VRPTW). The proposed algorithm incorporates some principles from multi-objective optimization to allow particles to conduct a dynamic trade-off between objectives in order to reach feasibility. The...

Journal: :International Journal of Industrial Engineering Computations 2017

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