We present some applications of a software tool based on genetic algorithms. Soft Computing Genetic Tool (SCGT) is able to solve in an interactive way, user defined searching problems. We will illustrate the use of the SCGT as a “Genetic Algorithms Benchmark”. Graphical results, showing us...
soft computingneural networks (NNsprincipal components analysis (PCAIntroductionAdaptive NetworksNeural NetworksLearningStructural AdaptationNeuro-Fuzzy NetworksGenetic Algorithmsdoi:10.1002/9781118007747.ch21Giovanni MagenesFrancesco LunghiStefano RamatJohn Wiley & Sons, Inc....
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In Genetic Algorithms and their Application: Proceedings of the 2nd International Conference on Genetic Algorithms Ovidiu C, Pop Petrică C, Pop SC (2022) A two-level based genetic algorithm for solving the soft-clustered vehicle routing problem. Carpathian Journal of Mathematics 38(1):117–128 ...
5.1Genetic algorithms Application mapping problem has already been proven to be NP-hard[29]. Hence our problem formulation proposed in the previous subsection is also NP-hard. Therefore, agenetic algorithmbased solution methodology is adopted in this work. ...
Unlike traditional algorithms, GA method does not require gradient information; hence, it shows excellent search ability. GA imitates the process of natural inheritance via three basic genetic operators: reproduction, crossover, and mutation. Each chromosome in GA is a solution to the problem to be...
This package implements some of the advanced algorithms on top of my python wrapper pgapy of the Parallel Genetic Algorithm Package PGAPack. In the following we're using GA to mean genetic algorithm.Currently we cover two variants of probabilistic model building GAs, also called Estimation of Dis...
Zainudin Zukhri and Khairuddin Omar," Solving New Student Allocation Problem with Genetic Algorithms", International Journal of Soft Computing Applications ISSN: 1453-2277 Issue 3 (2008), pp.6-15Zainudin Zukhri & Khairuddin Omar, "Solving New Student Allocation Problem with Gene...
When genetic algorithms are used to evolve decision trees, key tree quality parameters can be recursively computed and re-used across generations of partially similar decision trees. Simply storing instance indices at leaves is sufficient for fitness to be piecewise computed in a lossless fashion. We...
Genetic algorithms (GAs) are search methods based on principles of natural selection and genetics (Fraser, 1957; Bremermann, 1958; Holland, 1975). We start with a brief introduction to simple genetic algorithms and associated terminology.