نتایج جستجو برای: multi objective metaheuristicalgorithms

تعداد نتایج: 986574  

Journal: :international journal of environmental research 2010
h.h. zhang y.n. zeng l. bian

in this study, under the constraint of resource-saving and environment-friendliness objective, based on multi-agent genetic algorithm, multi-objective spatial optimization (moso) model for land use allocation was developed from the view of simulating the biological autonomous adaptability to environment and the competitive-cooperative relationship. the model was applied to solve the practical m...

Journal: :Applied Mathematical Modelling 1981

Journal: :international journal of industrial mathematics 2015
s. sedehzadeh‎ r. tavakkoli-‎moghaddam‎‎ f. jolai‎

one main group of a transportation network is a discrete hub covering problem that seeks to minimize the total transportation cost. this paper presents a multi-product and multi-mode hub covering model, in which the transportation time depends on travelling mode between each pair of hubs. indeed, the nature of products is considered different and hub capacity constraint is also applied. due to ...

Journal: :iranian journal of fuzzy systems 2012
esmaile khorram vahid nozari

this paper studies a new multi-objective fuzzy optimization prob- lem. the objective function of this study has dierent levels. therefore, a suitable optimized solution for this problem would be an optimized solution with preemptive priority. since, the feasible domain is non-convex; the tra- ditional methods cannot be applied. we study this problem and determine some special structures related...

Journal: :journal of optimization in industrial engineering 2015
ali ghasemi mohammad javad golkar mohammad eslami

a multi objective honey bee mating optimization (hbmo) designed by online learning mechanism is proposed in this paper to optimize the double fuzzy-lead-lag (fll) stabilizer parameters in order to improve low-frequency oscillations in a multi machine power system. the proposed double fll stabilizer consists of a low pass filter and two fuzzy logic controllers whose parameters can be set by the ...

Journal: :journal of ai and data mining 2014
najme nekooghadirli reza tavakkoli-moghaddam vahidreza ghezavati

an integrated model considers all parameters and elements of different deficiencies in one problem. this paper presents a new integrated model of a supply chain that simultaneously considers facility location, vehicle routing and inventory control problems as well as their interactions in one problem, called location-routing-inventory (lri) problem. this model also considers stochastic demands ...

2012
Chuan Shi Xiangnan Kong Philip S. Yu Bai Wang

Multi-label classification refers to the task of predicting potentially multiple labels for a given instance. Conventional multi-label classification approaches focus on the single objective setting, where the learning algorithm optimizes over a single performance criterion (e.g. Ranking Loss) or a heuristic function. The basic assumption is that the optimization over one single objective can i...

2011
Jean Paulo Martins Antonio Helson Mineiro Soares Danilo Vasconcellos Vargas Alexandre C. B. Delbem

In general, Multi-objective Evolutionary Algorithms do not guarantee find solutions in the Pareto-optimal set. We propose a new approach for solving decomposable deceptive multi-objective problems that can find all solutions of the Pareto-optimal set. Basically, the proposed approach starts by decomposing the problem into subproblems and, then, combining the found solutions. The resultant appro...

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