Results 231 to 240 of about 630,876 (269)
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An improved multi-objective particle swarm optimizer for multi-objective problems
Expert Systems with Applications, 2010This paper proposes an improved multi-objective particle swarm optimizer with proportional distribution and jump improved operation, named PDJI-MOPSO, for dealing with multi-objective problems. PDJI-MOPSO maintains diversity of new found non-dominated solutions via proportional distribution, and combines advantages of wide-ranged exploration and ...
Shang-Jeng Tsai +5 more
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Evolutionary Computation, 2004
In this paper, an orthogonal multi-objective evolutionary algorithm (OMOEA) is proposed for multi-objective optimization problems (MOPs) with constraints. Firstly, these constraints are taken into account when determining Pareto dominance. As a result, a strict partial-ordered relation is obtained, and feasibility is not considered later in the ...
Sanyou Zeng, Lishan Kang, Lixin Ding
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In this paper, an orthogonal multi-objective evolutionary algorithm (OMOEA) is proposed for multi-objective optimization problems (MOPs) with constraints. Firstly, these constraints are taken into account when determining Pareto dominance. As a result, a strict partial-ordered relation is obtained, and feasibility is not considered later in the ...
Sanyou Zeng, Lishan Kang, Lixin Ding
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1989
A sign of maturity is the recognition that one can’t have everything. Compromise and trade-off are almost always unavoidable in real life decision situations, not only when several parties with non-coincident interests are involved but also when one own’s objectives or desires compete with one another for attention or priorities.
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A sign of maturity is the recognition that one can’t have everything. Compromise and trade-off are almost always unavoidable in real life decision situations, not only when several parties with non-coincident interests are involved but also when one own’s objectives or desires compete with one another for attention or priorities.
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Multi-objective branch and bound
European Journal of Operational Research, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Anthony Przybylski, Xavier Gandibleux
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Multi-Object Tracking in Video
Real-Time Imaging, 1999This paper reports on tracking of multiple objects using color histogram backprojection and motion cues. Four tasks which facilitate this are discussed. The first is an adaptive color histogram backprojection (which builds upon the works of Swain and Ballard) and its application to tracking of multiple objects in video sequences.
Johnson I. Agbinya, David Rees
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Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, 2015
In this paper we propose an extension of the NM-landscape to model multi-objective problems (MOPs). We illustrate the link between the introduced model and previous landscapes used to study MOPs. Empirical results are presented for a variety of configurations of the multi-objective NM-landscapes.
Roberto Santana 0001 +2 more
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In this paper we propose an extension of the NM-landscape to model multi-objective problems (MOPs). We illustrate the link between the introduced model and previous landscapes used to study MOPs. Empirical results are presented for a variety of configurations of the multi-objective NM-landscapes.
Roberto Santana 0001 +2 more
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Multi-Objective Interactive Programming
Journal of the Operational Research Society, 1980This paper proposes a method for finding optimal, or near optimal, solutions for problems involving m objective functions, where there is an overall criterion which is a weighted sum of the m objective functions, but where the weights are, initially, unknown.
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Multi Objective Symbolic Regression
2016Symbolic regression has been a popular technique for some time. Systems typically evolve using a single objective fitness function, or where the fitness function is multi-objective the factors are combined using a weighted sum. This work uses a Non Dominated Sorting Strategy to rank the genomes. Using data derived from Swimming turns performed by elite
Chris J. Hinde +2 more
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Multi-objective Visual Odometry
2018Visual odometry (VO) has been extensively studied in the last decade. Despite a variety of implementation details, the proposed approaches share the same principle - a minimisation of a carefully chosen energy function. In this paper we review four commonly adopted energy models including perspective, epipolar, rigid, and photometric alignments, and ...
Hsiang-Jen Chien +3 more
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Parallel Multi-Objective Evolutionary Algorithm for Constrained Multi-Objective Optimization
2023 24th International Arab Conference on Information Technology (ACIT), 2023Leyla Belaiche +4 more
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