A novel collaborative optimization algorithm in solving complex optimization problems

• Published in: Soft computing (Berlin, Germany) Vol. 21; no. 15; pp. 4387 - 4398
• Main Authors: Deng, Wu, Zhao, Huimin, Zou, Li, Li, Guangyu, Yang, Xinhua, Wu, Daqing
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2017; Springer Nature B.V
• Subjects: Adaptive control; Adaptive search techniques; Ant colony optimization; Artificial Intelligence; Collaboration; Computational Intelligence; Control; Convergence; Cooperation; Engineering; Evolution; Genetic algorithms; Heuristic; Intelligence; Mathematical Logic and Foundations; Mechatronics; Methodologies and Application; Optimization algorithms; Optimization techniques; Parameters; Pheromones; Robotics; Scheduling; Searching; Strategy; Traveling salesman problem; Chaotic optimization method; Collaborative optimization; Genetic algorithm; Ant colony optimization algorithm; Complex optimization problem; Multi-strategy

To overcome the deficiencies of weak local search ability in genetic algorithms (GA) and slow global convergence speed in ant colony optimization (ACO) algorithm in solving complex optimization problems, the chaotic optimization method, multi-population collaborative strategy and adaptive control pa...