Particle Swarm Optimization Algorithm vs Genetic Algorithm to Develop Integrated Scheme for Obtaining Optimal Mechanical Structure and Adaptive Controller of a Robot

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Intelligent Control and Automation

ISSN Print: 2153-0653
ISSN Online: 2153-0661
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"Particle Swarm Optimization Algorithm vs Genetic Algorithm to Develop Integrated Scheme for Obtaining Optimal Mechanical Structure and Adaptive Controller of a Robot"
written by Rega Rajendra, Dilip K. Pratihar,
published by Intelligent Control and Automation, Vol.2 No.4, 2011

has been cited by the following article(s):

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[18]	Sunlight to hydrogen conversion: Design optimization and energy management of concentrated photovoltaic (CPV-Hydrogen) system using micro genetic algorithm Energy, 2016 DOI:10.1016/j.energy.2016.01.048

[19]	Optimized Gabor features for mass classification in mammography Applied Soft Computing, 2016 DOI:10.1016/j.asoc.2016.04.012

[20]	Particle Swarm Optimization of Matsuoka's oscillator parameters in human-like control of rhythmic movements 2016 American Control Conference (ACC), 2016 DOI:10.1109/ACC.2016.7524938

[21]	Diagnosis of wiring networks using Particle Swarm Optimization and Genetic Algorithms Computers & Electrical Engineering, 2014 DOI:10.1016/j.compeleceng.2014.07.002

[22]	Optimum geometry to improve torque of a doubly salient variable reluctance machine 2014 16th International Power Electronics and Motion Control Conference and Exposition, 2014 DOI:10.1109/EPEPEMC.2014.6980681

[23]	Inverse analysis using particle swarm optimization for detecting corrosion profile of rebar in concrete structure Engineering Analysis with Boundary Elements, 2013 DOI:10.1016/j.enganabound.2013.01.005

[24]	Weighted Average-Based Multi-Objective Optimization of Tube Spinning Process using Non-Traditional Optimization Techniques International Journal of Swarm Intelligence Research, 2013 DOI:10.4018/ijsir.2013070103

[25]	Reducing friction-induced vibration using intelligent active force control (AFC) with piezoelectric actuators Sadhana, 2012 DOI:10.1007/s12046-012-0104-2

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	+86 18163351462(WhatsApp)
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