Results 11 to 20 of about 43,517 (303)
Mathematics, 2023 Disassembling discarded electrical products plays a crucial role in product recycling, contributing to resource conservation and environmental protection.
Ziyan Zhao +6 more
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Applied Sciences, 2022 This work presents a novel hybrid algorithm called GA-RRHC based on genetic algorithms (GAs) and a random-restart hill-climbing (RRHC) algorithm for the optimization of the flexible job shop scheduling problem (FJSSP) with high flexibility (where every ...
Nayeli Jazmin Escamilla-Serna +4 more
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Evolutionary optimization of steel trusses with the nodal joints of rods [PDF]
Инженерно-строительный журнал, 2013 This article describes the process of constructing a genetic parametrical-optimization algorithm of trusses with the possibility of account the cost of manufacturing the nodal joints of rods.
A.V. Alekseytsev
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A Novel Genetic Operator for Genetic Folding Algorithm: A Refolding Operator and a New Genotype [PDF]
International Journal of Engineering and Manufacturing, 2017 Genetic Folding algorithm uses linear chromosomes composed of organized genes in floating-numbers manner in which each genes chain fold back on themselves to form the final GF chromosome. In this paper, a novel genotype representation and a novel genetic operator were proposed.
Mezher, MA, Abbod, MF
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K-Means Genetic Algorithms with Greedy Genetic Operators [PDF]
Mathematical Problems in Engineering, 2020 The k-means problem is one of the most popular models of cluster analysis. The problem is NP-hard, and modern literature offers many competing heuristic approaches. Sometimes practical problems require obtaining such a result (albeit notExact), within the framework of the k-means model, which would be difficult to improve by known methods without a ...
Lev Kazakovtsev +3 more
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Tugboat Scheduling with Multiple Berthing Bases under Uncertainty
Journal of Marine Science and Engineering, 2023 This study proposes a novel fuzzy programming optimization model for tugboat scheduling, directly considering multiple berthing bases, time windows, and operational uncertainties.
Botang Li +3 more
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Applied Sciences, 2020 The COVID-19 pandemic has supposed a challenge for education. The school closures during the initial coronavirus outbreak for reducing the infections have promoted negative effects on children, such as the interruption of their normal social ...
Rubén Ferrero-Guillén +4 more
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Comparison of the Effect of Various Types of Genetic Algorithm Operators on the Total Amount of Tardiness in Flow Shop Problem [PDF]
مدیریت مهندسی و رایانش نرم, 2022 Flow Shop Scheduling Problem (FSSP) with the objective of minimizing total amount of tardiness is an NP-hard problem and many articles has been written about it.
Morteza Rasti Barzoki, Sajjad Raeisi
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Efficient genetic algorithms for solving hard constrained optimization problems [PDF]
, 2000 This paper studies many Genetic Algorithm strategies to solve hard-constrained optimization problems. It investigates the role of various genetic operators to avoid premature convergence. In particular, an analysis of niching methods is carried out on a
Sareni, Bruno +2 more
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Genetic algorithms for optimization and study transport tours
Visión Electrónica, 2017 This paper is the result of a research project developed by the DIGITI’s research group at Francisco José de Caldas University, on optimization problems by using artificial intelligence and it shows the implementation of a genetic algorithm (GA) as a ...
María Camila Parra Romero +2 more
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