A dynamic surrogate-assisted evolutionary algorithm framework for expensive structural optimization
Sign Up to like & getrecommendations! Published in 2019 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-019-02391-8
Abstract: In the expensive structural optimization, the data-driven surrogate model has been proven to be an effective alternative to physical simulation (or experiment). However, the static surrogate-assisted evolutionary algorithm (SAEA) often becomes powerless and inefficient when… read more here.
Keywords: evolutionary algorithm; framework; surrogate; optimization ... See more keywords
Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes
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DOI: 10.1007/s00500-016-2076-3
Abstract: It has been increasingly reported that the multiobjective optimization evolutionary algorithm based on decomposition (MOEA/D) is promising for handling multiobjective optimization problems (MOPs). MOEA/D employs scalarizing functions to convert an MOP into a number of… read more here.
Keywords: evolutionary algorithm; penalty schemes; new penalty; penalty ... See more keywords
Chaos-assisted multiobjective evolutionary algorithm to the design of transformer
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DOI: 10.1007/s00500-016-2145-7
Abstract: In this paper, multiobjective transformer design (TD) optimization is carried out using multiobjective evolutionary algorithm (MOEA) based on decomposition with dynamical resource allocation (MOEA/D-DRA) for four sets of conflicting TD bi-objectives such as (i) purchase… read more here.
Keywords: multiobjective evolutionary; evolutionary algorithm; chaos assisted; algorithm ... See more keywords
An evolutionary algorithm using spherical inversions
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DOI: 10.1007/s00500-016-2461-y
Abstract: This paper introduces an evolutionary algorithm which uses reflections and spherical inversions for global continuous optimization. Two new geometric search operators are included in the design of the algorithm: the inversion search operator and the… read more here.
Keywords: search operator; evolutionary algorithm; spherical inversions; search ... See more keywords
Distance-dependent parameter adaption for multi-objective evolutionary algorithm based on decomposition
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DOI: 10.1007/s00500-017-2980-1
Abstract: Multi-objective evolutionary algorithm based on decomposition (MOEA/D) has been proved competitive in tackling complex multi-objective optimization problems. However, the performance of MOEA/D is very sensitive to its parameter settings. Differential evolutionary (DE) operator is the… read more here.
Keywords: evolutionary algorithm; moea; objective evolutionary; distance ... See more keywords
Analysis of semi-asynchronous multi-objective evolutionary algorithm with different asynchronies
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DOI: 10.1007/s00500-019-04071-7
Abstract: This paper proposes a novel master–slave parallel evolutionary algorithm (EA) approach with different asynchrony and provides its detailed analyses on multi-objective optimization problems. We express the proposed EA with different asynchrony as a semi-asynchronous EA.… read more here.
Keywords: semi asynchronous; analysis; multi objective; evolutionary algorithm ... See more keywords
A surrogate-assisted a priori multiobjective evolutionary algorithm for constrained multiobjective optimization problems
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Global Optimization"
DOI: 10.1007/s10898-024-01387-z
Abstract: We consider multiobjective optimization problems with at least one computationally expensive constraint function and propose a novel surrogate-assisted evolutionary algorithm that can incorporate preference information given a priori. We employ Kriging models to approximate expensive… read more here.
Keywords: optimization problems; evolutionary algorithm; optimization; multiobjective optimization ... See more keywords
Approximating the Pareto front of a bi-objective problem in telecommunication networks using a co-evolutionary algorithm
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DOI: 10.1007/s11276-018-01921-4
Abstract: This paper studies a telecommunication network design problem. In this network, users must be connected to capacitated hubs. Then, hubs that concentrate users must be connected to each other and possibly to other hubs with… read more here.
Keywords: pareto; objective problem; problem; front objective ... See more keywords
Interactive multiobjective evolutionary algorithm based on decomposition and compression
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DOI: 10.1007/s11432-020-3092-y
Abstract: Many real-world optimization problems involve multiple conflicting objectives. Such problems are called multiobjective optimization problems (MOPs). Typically, MOPs have a set of so-called Pareto optimal solutions rather than one unique optimal solution. To assist the… read more here.
Keywords: multiobjective evolutionary; evolutionary algorithm; algorithm based; interactive multiobjective ... See more keywords
An Adaptive Island Evolutionary Algorithm for the berth scheduling problem
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DOI: 10.1007/s12293-019-00292-3
Abstract: Increasing volumes of the seaborne containerized trade put additional pressure on marine container terminal operators. Long congestion periods have been reported at certain marine container terminals due to inability of the infrastructure to serve the… read more here.
Keywords: adaptive island; island evolutionary; problem; algorithm ... See more keywords
A decomposition based multiobjective evolutionary algorithm with self-adaptive mating restriction strategy
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-018-00919-w
Abstract: MOEA/D decomposes the multiobjective optimization problem into a number of subproblems. However, one subproblem’s requirement for exploitation and exploration varies with the evolutionary process. Furthermore, different subproblems’ requirements for exploitation and exploration are also different… read more here.
Keywords: multiobjective evolutionary; decomposition based; restriction; based multiobjective ... See more keywords