SAMCCTLBO: a multi-class cooperative teaching–learning-based optimization algorithm with simulated annealing

• Published in: Soft computing (Berlin, Germany) Vol. 20; no. 5; pp. 1921 - 1943
• Main Authors: Chen, Debao, Zou, Feng, Wang, Jiangtao, Yuan, Wujie
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2016; Springer Nature B.V
• Subjects: Algorithms; Artificial Intelligence; Computational Intelligence; Control; Cooperation; Design optimization; Engineering; Knowledge; Learning; Machine learning; Mathematical Logic and Foundations; Mechatronics; Methodologies and Application; Methods; Neighborhoods; Optimization; Optimization algorithms; Robotics; Simulated annealing; Simulation; Students; Teaching; Teaching–learning-based optimization; Particle swarm optimization; Simulated annealing; Multi-class cooperative

A variant of teaching–learning-based optimization algorithm (TLBO) with multi-classes cooperation and simulated annealing operator (SAMCCTLBO) is proposed in paper. To take full advantage of microteaching, the population is divided into several sub-classes, the mean of all learners in teacher phase...