Displaying similar documents to “A globally convergent neurodynamics optimization model for mathematical programming with equilibrium constraints”

Simultaneous routing and flow rate optimization in energy-aware computer networks

Przemysław Jaskóła, Piotr Arabas, Andrzej Karbowski (2016)

International Journal of Applied Mathematics and Computer Science

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The issue of energy-aware traffic engineering has become prominent in telecommunications industry in the last years. This paper presents a two-criteria network optimization problem, in which routing and bandwidth allocation are determined jointly, so as to minimize the amount of energy consumed by a telecommunication infrastructure and to satisfy given demands represented by a traffic matrix. A scalarization of the criteria is proposed and the choice of model parameters is discussed...

Optimal Allocation of Renewable Energy Parks: A Two–stage Optimization Model

Carmen Gervet, Mohammad Atef (2013)

RAIRO - Operations Research - Recherche Opérationnelle

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Applied research into Renewable Energies raises complex challenges of a technological, economical or political nature. In this paper, we address the techno−economical optimization problem of selecting locations of wind and solar Parks to be built in Egypt, such that the electricity demand is satisfied at minimal costs. Ultimately, our goal is to build a decision support tool that will provide private and governmental investors into renewable energy systems, valuable insights to make...

Neural networks learning as a multiobjective optimal control problem.

Maciej Krawczak (1997)

Mathware and Soft Computing

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The supervised learning process of multilayer feedforward neural networks can be considered as a class of multi-objective, multi-stage optimal control problem. An iterative parametric minimax method is proposed in which the original optimization problem is embedded into a weighted minimax formulation. The resulting auxiliary parametric optimization problems at the lower level have simple structures that are readily tackled by efficient solution methods, such as the dynamic programming...

Distributed event-triggered algorithm for optimal resource allocation of multi-agent systems

Weiyong Yu, Zhenhua Deng, Hongbing Zhou, Xianlin Zeng (2017)

Kybernetika

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This paper is concerned with solving the distributed resource allocation optimization problem by multi-agent systems over undirected graphs. The optimization objective function is a sum of local cost functions associated to individual agents, and the optimization variable satisfies a global network resource constraint. The local cost function and the network resource are the private data for each agent, which are not shared with others. A novel gradient-based continuous-time algorithm...

A Generalization of Dynamic Programming for Pareto Optimization in Dynamic Networks

Teodros Getachew, Michael Kostreva, Laura Lancaster (2010)

RAIRO - Operations Research

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The Algorithm in this paper is designed to find the shortest path in a network given time-dependent cost functions. It has the following features: it is recursive; it takes place bath in a backward dynamic programming phase and in a forward evaluation phase; it does not need a time-grid such as in Cook and Halsey and Kostreva and Wiecek's "Algorithm One”; it requires only boundedness (above and below) of the cost functions; it reduces to backward multi-objective dynamic programming...

On designing connected rapid transit networks reducing the number of transfers

Laureano Fernando Escudero, Susana Muñoz (2011)

RAIRO - Operations Research - Recherche Opérationnelle

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In this paper we introduce some improvements on an approach that we described elsewhere for solving a modification of the well-known extended rapid transit network design problem. Firstly, we propose an integer programming model for selecting the stations to be constructed and the links between them, in such a way that a connected rapid transit network is obtained. Secondly, we consider a linear 0-1 programming model for determining a route of minimum length in the rapid transit network...

The nonlinear complementarity model of industrial symbiosis network equilibrium problem

Shiqin Xu, Guoshan Liu, Wendai Lv, Yingmei Liu (2014)

RAIRO - Operations Research - Recherche Opérationnelle

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In this paper, we propose an industrial symbiosis network equilibrium model by using nonlinear complementarity theory. The industrial symbiosis network consists of industrial producers, industrial consumers, industrial decomposers and demand markets, which imitates natural ecosystem by means of exchanging by-products and recycling useful materials exacted from wastes. The industrial producers and industrial consumers are assumed to be concerned with maximization of economic profits as...