Applying genetic algorithm to extreme learning machine in prediction of tumbler index with principal component analysis for iron ore sintering. [PDF]
Sci RepWang S.
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DeepGenMon: A Novel Framework for Monkeypox Classification Integrating Lightweight Attention-Based Deep Learning and a Genetic Algorithm. [PDF]
Diagnostics (Basel)Almars AM.
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Improved genetic algorithm for multi-threshold optimization in digital pathology image segmentation. [PDF]
Sci RepHuang T, Yin H, Huang X.
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Transportation and production collaborative scheduling optimization with multi-layer coding genetic algorithm for non-pipelined wells. [PDF]
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Multi-objective optimal research on low-energy dwellings design based on genetic algorithm in Qinba mountain region, China. [PDF]
Sci RepXu J, Fang Y, Yang W, Lu Z, Wang X.
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Trip route optimization based on bus transit using genetic algorithm with different crossover techniques: a case study in Konya/Türkiye. [PDF]
Sci RepBolotbekova A, Hakli H, Beskirli A.
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Artificial Neural Network - Multi-Objective Genetic Algorithm based optimization for the enhanced pigment accumulation in Synechocystis sp. PCC 6803. [PDF]
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We analyze the performance of a Genetic Type Algorithm we call Culling and a variety of other algorithms on a problem we refer to as ASP. Culling is near optimal for this problem, highly noise tolerant, and the best known a~~roach . . in some regimes. We
Eric B. Baum, Charles Garrett, Dan Boneh
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Introduces the compact genetic algorithm (cGA) which represents the population as a probability distribution over the set of solutions and is operationally equivalent to the order-one behavior of the simple GA with uniform crossover. It processes each gene independently and requires less memory than the simple GA.
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A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation, 2002Multi-objective evolutionary algorithms (MOEAs) that use non-dominated sorting and sharing have been criticized mainly for: (1) their O(MN/sup 3/) computational complexity (where M is the number of objectives and N is the population size); (2) their non ...
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