Comparative Study of Mutation Operators on the Behavior of Genetic Algorithms Applied to Non-deterministic Polynomial (NP) Problems

2011 Second International Conference on Intelligent Systems, Modelling and Simulation ◽

10.1109/isms.2011.11 ◽

2011 ◽

Author(s):

Basima Hani Hasan ◽

Moutaz Saleh Mustafa

Keyword(s):

Genetic Algorithms ◽

Comparative Study ◽

Mutation Operators ◽

Np Problems

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Comparative Study between the Improved Implementation of 3 Classic Mutation Operators for Genetic Algorithms

Procedia Engineering ◽

10.1016/j.proeng.2017.02.444 ◽

2017 ◽

Vol 181 ◽

pp. 634-640 ◽

Cited By ~ 3

Author(s):

Razvan Cazacu

Keyword(s):

Genetic Algorithms ◽

Comparative Study ◽

Mutation Operators

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A comparative study of information granulation-based fuzzy inference systems developed by means of space optimization algorithm (SOA) and genetic algorithms

Proceedings of the 2011 ACM Symposium on Research in Applied Computation - RACS '11 ◽

10.1145/2103380.2103449 ◽

2011 ◽

Author(s):

Wei Huang ◽

Sung-Kwun Oh ◽

Keon-Jun Park ◽

Yong-Kab Kim

Keyword(s):

Genetic Algorithms ◽

Comparative Study ◽

Optimization Algorithm ◽

Fuzzy Inference ◽

Fuzzy Inference Systems ◽

Information Granulation ◽

Inference Systems

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A comparative study between using A*-search, Latin Hypercube and genetic algorithms in design of experiment for simulation of military operational plans

2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ◽

10.1109/smc.2014.6973935 ◽

2014 ◽

Cited By ~ 1

Author(s):

Johan Schubert ◽

Pontus Horling

Keyword(s):

Genetic Algorithms ◽

Comparative Study ◽

Design Of Experiment ◽

Latin Hypercube

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Optimization of Finite Word Length Coefficient IIR Digital Filters Through Genetic Algorithms – A Comparative Study

Lecture Notes in Computer Science - Advances in Natural Computation ◽

10.1007/11881223_79 ◽

2006 ◽

pp. 641-650 ◽

Cited By ~ 5

Author(s):

Gurvinder S. Baicher

Keyword(s):

Genetic Algorithms ◽

Comparative Study ◽

Word Length ◽

Digital Filters ◽

Finite Word Length ◽

Finite Word ◽

Iir Digital Filters

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A comparative study of mixed-integer linear programming and genetic algorithms for solving binary problems

2018 5th International Conference on Industrial Engineering and Applications (ICIEA) ◽

10.1109/iea.2018.8387111 ◽

2018 ◽

Cited By ~ 1

Author(s):

Punyisa Kuendee ◽

Udom Janjarassuk

Keyword(s):

Genetic Algorithms ◽

Linear Programming ◽

Comparative Study ◽

Integer Linear Programming ◽

Mixed Integer Linear Programming ◽

Mixed Integer ◽

Binary Problems

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A Comparative Study of Different Variants of Genetic Algorithms for Constrained Optimization

Lecture Notes in Computer Science - Simulated Evolution and Learning ◽

10.1007/978-3-642-17298-4_18 ◽

2010 ◽

pp. 177-186 ◽

Cited By ~ 11

Author(s):

Saber M. Elsayed ◽

Ruhul A. Sarker ◽

Daryl L. Essam

Keyword(s):

Genetic Algorithms ◽

Comparative Study ◽

Constrained Optimization

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A Comparative Study on Particle Swarm Optimization and Genetic Algorithms for Fixed Order Controller Design

Communications in Computer and Information Science - Emerging Trends and Applications in Information Communication Technologies ◽

10.1007/978-3-642-28962-0_28 ◽

2012 ◽

pp. 284-294 ◽

Cited By ~ 1

Author(s):

Faizullah Mahar ◽

Syed Saad Azhar Ali ◽

Zuhaibuddin Bhutto

Keyword(s):

Genetic Algorithms ◽

Particle Swarm Optimization ◽

Comparative Study ◽

Controller Design ◽

Particle Swarm ◽

Swarm Optimization ◽

Fixed Order

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Comparative Study of Type-1 and Type-2 Fuzzy Systems Optimized by Hierarchical Genetic Algorithms

Studies in Computational Intelligence - Soft Computing for Hybrid Intelligent Systems ◽

10.1007/978-3-540-70812-4_4 ◽

2008 ◽

pp. 53-70 ◽

Cited By ~ 2

Author(s):

Alma I. Martinez ◽

Oscar Castillo ◽

Mario Garcia

Keyword(s):

Genetic Algorithms ◽

Comparative Study ◽

Fuzzy Systems

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A comparative study of genetic algorithms for the multi-objective optimization of composite stringers under compression loads

Composites Part B Engineering ◽

10.1016/j.compositesb.2012.10.037 ◽

2013 ◽

Vol 47 ◽

pp. 130-136 ◽

Cited By ~ 29

Author(s):

P. Badalló ◽

D. Trias ◽

L. Marín ◽

J.A. Mayugo

Keyword(s):

Genetic Algorithms ◽

Comparative Study ◽

Multi Objective Optimization ◽

Multi Objective

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Solving large-scale maximum expected covering location problems by genetic algorithms: A comparative study

European Journal of Operational Research ◽

10.1016/s0377-2217(01)00260-0 ◽

2002 ◽

Vol 141 (3) ◽

pp. 480-494 ◽

Cited By ~ 57

Author(s):

Haldun Aytug ◽

Cem Saydam

Keyword(s):

Genetic Algorithms ◽

Comparative Study ◽

Large Scale ◽

Location Problems

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