Results 21 to 30 of about 164,607 (233)
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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A new evolutionary algorithm: Learner performance based behavior algorithm
Egyptian Informatics Journal, 2021 A novel evolutionary algorithm called learner performance based behavior algorithm (LPB) is proposed in this article. The basic inspiration of LPB originates from the process of accepting graduated learners from high school in different departments at ...
Chnoor M. Rahman, Tarik A. Rashid
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Autonomous Evolutionary Algorithm [PDF]
, 2010 Evolutionary algorithms (EA) are randomized heuristic search methods based on the principles of natural evolution (Banzhaf et al., 1998; Goldberg, 1989; Holland, 1975; Back, 1996; Koza, 1992). If we know how to describe the problem using the terminology of artificial evolution, the EAs are quite easy to apply.
openaire +3 more sources
Ameliorated Ensemble Strategy-Based Evolutionary Algorithm with Dynamic Resources Allocations
International Journal of Computational Intelligence Systems, 2020 In the last two decades, evolutionary computing has become the mainstream to attract the attention of the experts in both academia and industrial applications due to the advent of the fast computer with multi-core GHz processors have had a capacity of ...
Wali Khan Mashwani +3 more
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An Experimental Study on Competitive Coevolution of MLP Classifiers
Mendel, 2017 This paper investigates the effectiveness and efficiency of two competitive (predator-prey) evolutionary procedures for training multi-layer perceptron classifiers: Co-Adaptive Neural Network Training, and a modified version of Co-Evolutionary Neural ...
Marco Castellani, Rahul Lalchandani
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A Customized Differential Evolutionary Algorithm for Bounded Constrained Optimization Problems
Complexity, 2021 Bound-constrained optimization has wide applications in science and engineering. In the last two decades, various evolutionary algorithms (EAs) were developed under the umbrella of evolutionary computation for solving various bound-constrained benchmark ...
Wali Khan Mashwani +4 more
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Personalized-Template-Guided Intelligent Evolutionary Algorithm
Applied SciencesExisting heuristic algorithms are based on inspiration sources and have not yet done a good job of basing themselves on optimization principles to minimize and utilize historical information, which may lead to low efficiency, accuracy, and stability of ...
Dongni Hu +4 more
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Improved MOEA/D Algorithm Based on Adaptive Neighborhood Strategy [PDF]
Jisuanji gongcheng, 2019 Traditional Multi-objective Evolutionary Algorithm based on Decomposition(MOEA/D)uses the fixed neighborhood scale,which reduces the population evolution efficiency.To solve this problem,an improved algorithm based on the Adaptive Neighborhood Strategy ...
GENG Huantong,HAN Weimin,DING Yangyang,ZHOU Shansheng
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser +6 more
wiley +1 more source