نتایج جستجو برای: multi objective grasshopper optimization algorithm

تعداد نتایج: 1818371  

Journal: :Journal of the Brazilian Society of Mechanical Sciences and Engineering 2019

Journal: :Journal of The Brazilian Society of Mechanical Sciences and Engineering 2021

Abstract Linear proportional solenoid (LPS) is widely applied in different linear motion control systems as the electromagnetic actuator since its high reliability and low cost. LPS difficult to optimize by changing a single variable due amounts of structural design parameters, each parameter has nonlinear relationship with static force. This paper aims improve LPS’s push force response perform...

This paper presents a multi-objective Particle Swarm Optimization (PSO) algorithm for worker assignment and mixed-model assembly line balancing problem when task times depend on the worker’s skill level. The objectives of this model are minimization of the number of stations (equivalent to the maximization of the weighted line efficiency), minimization of the weighted smoothness index and minim...

Journal: :international journal of environmental research 0
sh. afandizadeh faculty of civil engineering, iran university of science and technology, iran n. kalantari faculty of civil engineering, iran university of science and technology, iran h. rezaeestakhruie faculty of civil engineering, sharif university, iran

nowadays, the environmental impact of transportation project and, especially air pollution impacts, are major concerns in evaluating transportation projects. based on this concern, beside definition of traditional objective functions like total travel time and total investment cost, different type of environmental related function is considered as objective function in urban network design. in ...

2015
Marko Mladineo Ivica Veža Nikola Gjeldum

When facing a real world, optimization problems mainly become multiobjective i.e. they have several criteria of excellence. A multi-criteria problem submitted for multi-criteria evaluation is a complex problem, as usually there is no optimal solution, and no alternative is the best one according to all criteria. However, if a metaheuristic algorithm is combined with a Multi-Criteria Decision-Ma...

2015
Cyrille Dejemeppe Pierre Schaus Yves Deville

Most of the derivative-free optimization (DFO) algorithms rely on a comparison function able to compare any pair of points with respect to a blackbox objective function. Recently, new dedicated derivative-free optimization algorithms have emerged to tackle multi-objective optimization problems and provide a Pareto front approximation to the user. This work aims at reusing single objective DFO a...

Journal: :IEICE Transactions on Information and Systems 2016

Journal: :TELKOMNIKA (Telecommunication Computing Electronics and Control) 2015

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