A Multiclustering Evolutionary Hyperrectangle-Based Algorithm
International Journal of Computational Intelligence Systems, 2023 Clustering is a grouping technique that has long been used to relate data homogeneously. With the huge growth of complex datasets from different sources in the last decade, new paradigms have emerged.
Luis Alfonso Pérez Martos +3 more
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Analysis of some global optimization algorithms for space trajectory design [PDF]
, 2010 In this paper, we analyze the performance of some global search algorithms on a number of space trajectory design problems. A rigorous testing procedure is introduced to measure the ability of an algorithm to identify the set of ²-optimal solutions. From
Di Lizia P. +9 more
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Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem
Applications of Modelling and Simulation, 2023 The evolutionary algorithm has been extensively used to solve a range of combinatorial optimization problems. The adaptability of evolutionary algorithm mechanisms provides diverse approaches to handle combinatorial optimization challenges.
Anniza Hamdan +4 more
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Hybrid evolutionary optimization algorithm MPSO-SA [PDF]
International Journal for Simulation and Multidisciplinary Design Optimization, 2010 This paper proposes a new method for a modified particle swarm optimization algorithm (MPSO) combined with a simulated annealing algorithm (SA). MPSO is known as an efficient approach with a high performance of solving optimization problems in many ...
El Hami N., Ellaia R., Itmi M.
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Performance Comparison Of Evolutionary Algorithms For Image Clustering [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 Evolutionary computation tools are able to process real valued numerical sets in order to extract suboptimal solution of designed problem. Data clustering algorithms have been intensively used for image segmentation in remote sensing applications ...
P. Civicioglu +5 more
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Hybridation of Bayesian networks and evolutionary algorithms for multi-objective optimization in an integrated product design and project management context [PDF]
, 2010 A better integration of preliminary product design and project management processes at early steps of system design is nowadays a key industrial issue.
Baron, Claude +3 more
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Vetor, 2023 A Multiobjective Optimization Problem (MOP) requires the optimization of several objective functions simultaneously, usually in conflict with each other.
André O. Martins +3 more
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METHOD OF ARTIFICIAL FITNESS LEVELS FOR DYNAMICS ANALYSIS OF EVOLUTIONARY ALGORITHMS [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2020 Subject of Research. Currently, in the theory of evolutionary computation, it becomes relevant to analyze not just the runtime of evolutionary algorithms, but also their dynamics.
Maxim V. Buzdalov, Dmitry V. Vinokurov
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Pseudo derivative evolutionary algorithm and convergence analysis [PDF]
, 2018 In this paper, a novel evolutionary algorithm (EA), called pseudo-derivative EA (called PDEA), is proposed. The basic idea of PDEA is to use pseudo-derivative, which is obtained based on the information produced during the evolution, and to help search ...
Lu, Chengchao +3 more
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Two-Archive Evolutionary Algorithm for Constrained Multiobjective Optimization [PDF]
IEEE Transactions on Evolutionary Computation, 2017 When solving constrained multiobjective optimization problems, an important issue is how to balance convergence, diversity, and feasibility simultaneously.
Ke Li, Renzhi Chen, G. Fu, X. Yao
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