Multi-objective traffic signal optimization using 3D mesoscopic simulation and evolutionary algorithms
نویسندگان
چکیده
منابع مشابه
Multi-objective Optimization using Evolutionary Algorithms
This is a progress report describing my research during the last one and a half year, performed during part A of my Ph.D. study. The research field is multi-objective optimization using evolutionary algorithms, and the reseach has taken place in a collaboration with Aarhus Univerity, Grundfos and the Alexandra Institute. My research so far has been focused on two main areas, i) multi-objective ...
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This paper examines how the search ability of evolutionary multi-objective optimization (EMO) algorithms can be improved by the hybridization with local search through computational experiments on multi-objective permutation flowshop scheduling problems. The task of EMO algorithms is to find a variety of nondominated solutions of multi-objective optimization problems. First we describe our mult...
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Bilevel optimization problems require every feasible upperlevel solution to satisfy optimality of a lower-level optimization problem. These problems commonly appear in many practical problem solving tasks including optimal control, process optimization, game-playing strategy development, transportation problems, and others. In the context of a bilevel single objective problem, there exists a nu...
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The Multi-objective transportation problem (MOTSP) is a of linear type optimization problem which contains all equality type constraints and the multi variable objectives. Here we have presented an application of Evolutionary Algorithms to the multi-objective transportation problem (MOTSP). We consider the multi-objective transportation problem as linear optimization problem and use a special t...
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Many optimization problems consist of several mutually dependent subproblems, where the resulting solutions must satisfy all requirements. We propose a new model for Multi-Objective Optimization (MOO) in Evolutionary Algorithms (EAs). The search space is partitioned into so-called Satissability Classes (SC), where each region represents the quality of the optimization criteria. Applying the SCs...
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ژورنال
عنوان ژورنال: Simulation Modelling Practice and Theory
سال: 2018
ISSN: 1569-190X
DOI: 10.1016/j.simpat.2018.05.005