Applied Mathematics

Applied Mathematics

ISSN Print: 2152-7385
ISSN Online: 2152-7393
www.scirp.org/journal/am
E-mail: am@scirp.org
"Binary-Real Coded Genetic Algorithm Based k-Means Clustering for Unit Commitment Problem"
written by Mai A. Farag, M. A. El-Shorbagy, I. M. El-Desoky, A. A. El-Sawy, A. A. Mousa,
published by Applied Mathematics, Vol.6 No.11, 2015
has been cited by the following article(s):
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[1] An Exact Solution Method and A Genetic Algorithm-based Approach for the Unit Commitment Problem in Conventional Power Generation Systems
Computers & Industrial Engineering, 2022
[2] A hybrid genetic–firefly algorithm for engineering design problems
Shorbagy, AM El-Refaey - Journal of Computational …, 2022
[3] Stochastic Marine Predator Algorithm with Multiple Candidates
International Journal of …, 2022
[4] Optimasi Bobot K-Means Clustering untuk Mengatasi Missing Value dengan Menggunakan Algoritma Genetica
… Teknologi Informasi dan …, 2021
[5] A new hybrid binary-real coded Cuckoo search and Tabu search algorithm for solving the unit-commitment problem
2021
[6] Nature-Inspired Optimization Algorithms: Research Direction and Survey
2021
[7] Hybridization of grasshopper optimization algorithm with genetic algorithm for solving system of non-linear equations
2020
[8] Steady-State Sine Cosine Genetic Algorithm Based Chaotic Search for Nonlinear Programming and Engineering Applications
2020
[9] A New Hybrid Metaheuristic Algorithm for Multiobjective Optimization Problems
2020
[10] Cuckoo Search Algorithm for Solving the Problem of Unit-Commitment with Vehicle-to-Grid
2019
[11] An enhanced genetic algorithm with new mutation for cluster analysis
2019
[12] A hybridization of sine cosine algorithm with steady state genetic algorithm for engineering design problems
2019
[13] An intelligent computing technique based on a dynamic-size subpopulations for unit commitment problem
2019
[14] Application of a Binary-Real Coded Cuckoo Search Algorithm for Solving Unit Commitment Problem
2019
[15] K-means cluster algorithm-based evolutionary approach for constrained multi-objective optimization
International Journal of Applied Engineering Research [IJAER], 2018
[16] A Novel Genetic Algorithm Based k-means Algorithm for Cluster Analysis
The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018), 2018
[17] Identifying the Most Significant Solutions from Pareto Front Using Hybrid Genetic K-Means Approach
2016
[18] A HYBRID GENETIC ALGORITHM FOR JOB SHOP SCHEDULING PROBLEMS
2016
[19] Hybrid Genetic Algorithm with K-Means for Clustering Problems
2016
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