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International Journal of Systems Science Volume 27, 1996 - Issue 2
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Genetic algorithms

Adaptive simulated annealing genetic algorithm for control applications

IL-KWON JEONG Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, 373-1 Kusong-dong, Yusong-gu, Taejon, 305-701, South Korea
&
JU-JANG LEE Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, 373-1 Kusong-dong, Yusong-gu, Taejon, 305-701, South Korea
Pages 241-253 | Received 02 Feb 1995, Published online: 16 May 2007

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Chang-Wook Han & Jung-Il Park. (2004) A study on hybrid random signal-based learning and its applications. International Journal of Systems Science 35:4, pages 243-253.
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Articles from other publishers (16)

Min Lin Liu & Bo Yun Liu. (2013) State Evaluation of Diesel Engine Using Genetic Algorithm for the Feature Selection and Optimize. Applied Mechanics and Materials 462-463, pages 203-208.
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Xiao Qin Wu. (2012) Research on the Optimized Algorithms on Neural Network. Advanced Materials Research 605-607, pages 2175-2178.
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Qian Yang, Xiong Zhong, Xiangfei Lv, Xiuguo Xiao & Ziquan Li. (2011) A Dynamic Genetic Algorithm Based on Numeric Encoding. A Dynamic Genetic Algorithm Based on Numeric Encoding.
Jinshui Qiu, Boyun Liu & Xiaodong Zhang. (2009) Intelligent Arithmetic for the State Evaluation Feature Selection and Optimize. Intelligent Arithmetic for the State Evaluation Feature Selection and Optimize.
Guiqiang Chen, Zushu Li, Linjian Tang & Qing Liu. (2008) Hybrid simplex-genetic algorithm for global numerical optimization. Hybrid simplex-genetic algorithm for global numerical optimization.
Chang-Wook Han & Jung-Il Park. 2006. Advances in Artificial Intelligence. Advances in Artificial Intelligence 67 76 .
Horng-Jer ShiehRichard C. Peralta. (2005) Optimal In Situ Bioremediation Design by Hybrid Genetic Algorithm-Simulated Annealing. Journal of Water Resources Planning and Management 131:1, pages 67-78.
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Jian-jun He, Shou-yi Yu & Jue Zhong. (2003) Control parameter optimal tuning method based on annealing-genetic algorithm for complex electromechanical system. Journal of Central South University of Technology 10:4, pages 359-363.
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Zhang Feizhou, Yang Dongkai & Chen Xiuwan. (2003) Intelligent scheduling of public traffic vehicles based on hybrid genetic algorithm. Intelligent scheduling of public traffic vehicles based on hybrid genetic algorithm.
Chang-Wook Han & Jung-Il Park. (2001) Design of a fuzzy controller using genetic algorithms employing random signal-based learning and simulated annealing. Design of a fuzzy controller using genetic algorithms employing random signal-based learning and simulated annealing.
Chang-wook Han & Jung-il Park. (2001) A study on hybrid genetic algorithms using random signal based learning employing simulated annealing. A study on hybrid genetic algorithms using random signal based learning employing simulated annealing.
Il-Kwon Jeong & Ju-Jang Lee. (1999) Evolving fuzzy logic controllers for multiple mobile robots solving a continuous pursuit problem. Evolving fuzzy logic controllers for multiple mobile robots solving a continuous pursuit problem.
Il-Kwon Jeong & Ju-Jang Lee. (1997) Evolving multi-agents using a self-organizing genetic algorithm. Applied Mathematics and Computation 88:2-3, pages 293-303.
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Shouyi Yu, Ying Peng & Xiaoming Zheng. (1997) System identification using dynamic ga based on numeric encoding. Journal of Central South University of Technology 4:2, pages 128-131.
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Il-Kwon Jeong & Ju-Jang Lee. (1997) Evolving cooperative mobile robots using a modified genetic algorithm. Robotics and Autonomous Systems 21:2, pages 197-205.
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Jinchun Wang, Kiyoshi Wada & Youxian Sunt. (1997) Adaptive Genetic Algorithms for FFN-Based Dynamic Identification. IFAC Proceedings Volumes 30:11, pages 1315-1319.
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