PDGA: The primal-dual genetic algorithm [PDF]
, 2003 Copyright @ 2003 IOS PressGenetic algorithms (GAs) are a class of search algorithms based on principles of natural evolution. Hence, incorporating mechanisms used in nature may improve the performance of GAs.
Yang, S, Yang, Shengxiang
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A niching memetic algorithm for simultaneous clustering and feature selection [PDF]
, 2008 Clustering is inherently a difficult task, and is made even more difficult when the selection of relevant features is also an issue. In this paper we propose an approach for simultaneous clustering and feature selection using a niching memetic algorithm.
Liu, X, Sheng, W, Fairhurst, M
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Hybrid Multi-population Genetic Algorithm for Multi Criteria Project Selection [PDF]
Journal of Mahani Mathematical Research, 2022 Resources scarcity, available capabilities and cost-benefit point of view, make it essential to select the best project(s) from available project portfolio. Project selection process has a significant role in the success.
Mohammad Mirabi, Hossein Ghaneai
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Hybrid genetic algorithm for dual selection [PDF]
Pattern Analysis and Applications, 2007 Ce travail présente un algorithme génétique hybride pour résoudre le problème suivant : sélectionner dans une base d'exemples le sous ensemble qui présente la meilleure performance en classification avec le plus petit nombre d'attributs pour le plus grand nombre d'exemples.
Ros, F. +3 more
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A lexicographic multi-objective genetic algorithm for multi-label correlation-based feature selection [PDF]
, 2015 This paper proposes a new Lexicographic multi-objective Genetic Algorithm for Multi-Label Correlation-based Feature Selection (LexGA-ML-CFS), which is an extension of the previous single-objective Genetic Algorithm for Multi-label Correlation-based ...
Suwimol Jungjit +3 more
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Design of Comminution Plants in the Ceramic Industry Using a Simulation-based Optimization Approach
Ingeniería e Investigación, 2021 In many cases, the design process of a structural ceramic comminution plant typically consists of an ‘expert designer’ who makes decisions using intuitive criteria to select commercial equipment.
Ignacio Ortiz de Landazuri Suárez +1 more
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Flexible job shop scheduling using genetic algorithm and heuristic rules
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2016 Job shop scheduling with the availability of more than one machine to perform an operation, also known as the flexible job shop scheduling problem, is computationally NP-hard.
Parinya KAWEEGITBUNDIT, Toru EGUCHI
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A Comparative Analysis of Hybridized Genetic Algorithm in Predictive Models of Breast Cancer Tumors
IEEE Access, 2023 Advancement in computer-aided tools towards accurate breast cancer early prediction models has proven to be advantageous, which in turn helps to reduce the mortality rate associated with this cancer.
Joyce A. Ayoola, Tokunbo Ogunfunmi
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Improving Floating Search Feature Selection using Genetic Algorithm
Journal of ICT Research and Applications, 2017 Classification, a process for predicting the class of a given input data, is one of the most fundamental tasks in data mining. Classification performance is negatively affected by noisy data and therefore selecting features relevant to the problem is a ...
Kanyanut Homsapaya, Ohm Sornil
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A Novel Genetic Operator for Genetic Folding Algorithm: A Refolding Operator and A New Genotype [PDF]
, 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
Mohammd A. Mezher +4 more
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