Evolutionary diversity optimization using multi-objective indicators [PDF]
Proceedings of the Genetic and Evolutionary Computation Conference, 2019 Evolutionary diversity optimization aims to compute a diverse set of solutions where all solutions meet a given quality criterion. With this paper, we bridge the areas of evolutionary diversity optimization and evolutionary multi-objective optimization.
Neumann, Aneta +3 more
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Non-elitist evolutionary multi-objective optimizers revisited [PDF]
Proceedings of the Genetic and Evolutionary Computation Conference, 2019 This is an accepted version of a paper published in the proceedings of GECCO ...
Tanabe, Ryoji, Ishibuchi, Hisao
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Multi-objective routing optimization using evolutionary algorithms [PDF]
, 2012 Wireless ad hoc networks suffer from several limitations, such as routing failures, potentially excessive bandwidth requirements, computational constraints and limited storage capability. Their routing strategy plays a significant role in determining the
Cheung, Kent Tsz Kan +2 more
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Benchmarking Multi- and Many-Objective Evolutionary Algorithms Under Two Optimization Scenarios
IEEE Access, 2017 Recently, a large number of multi-objective evolutionary algorithms (MOEAs) for many-objective optimization problems have been proposed in the evolutionary computation community. However, an exhaustive benchmarking study has never been performed.
Ryoji Tanabe +2 more
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Functional Brain Imaging with Multi-Objective Multi-Modal Evolutionary Optimization [PDF]
, 2006 Functional brain imaging is a source of spatio-temporal data mining problems. A new framework hybridizing multi-objective and multi-modal optimization is proposed to formalize these data mining problems, and addressed through Evolutionary Computation (EC)
A. Hyvarinen +14 more
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A Multi-Objective Planning Framework for Optimal Integration of Distributed Generations [PDF]
, 2013 This paper presents an evolutionary algorithm for analyzing the best mix of distributed generations (DG) in a distribution network. The multi-objective optimization aims at minimizing the total cost of real power generation, line losses and CO2 emissions,
Howe, Joe +2 more
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Research on optimization method of reconnaissance constellation based on multi-objective evolutionary algorithm [PDF]
Zhihui kongzhi yu fangzhenIn order to further solve the optimization problem of reconnaissance constellation and strengthen the construction of space-based reconnaissance system, the current optimization methods of reconnaissance constellation are studied and summarized.
LIU Yali, XIONG Wei
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A Multi-Objective Evolutionary Algorithm With Hierarchical Clustering-Based Selection
IEEE Access, 2023 This paper proposes an evolutionary algorithm with hierarchical clustering based selection for multi-objective optimization. In the proposed algorithm, a hierarchical clustering is employed to design the environmental and mating selections, named local ...
Shenghao Zhou +6 more
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Interval-based ranking in noisy evolutionary multiobjective optimization [PDF]
, 2015 As one of the most competitive approaches to multi-objective optimization, evolutionary algorithms have been shown to obtain very good results for many realworld multi-objective problems.
Bielza Lozoya, Maria Concepcion +2 more
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Evolutionary multi-objective optimization of hybrid laminates
Computer Assisted Methods in Engineering and Science, 2022 The aim of the paper is to prepare an efficient method of the optimization of the hybrid fibre-reinforced laminates. Since the several optimization criteria which cannot be satisfied simultaneously are proposed, the multi-objective optimization methods ...
Witold Beluch +2 more
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