Various Machine learning techniques has proven their effect on optimizing the result of complex problems in all domain of engineering. Evolutionary computational techniques come under unsupervised machine learning techniques those are very efficient in solving highly complex discrete problems. This special session will cover all Evolutionary techniques are Population based Heuristic Search techniques like Genetic Algorithm, Particle Swarm Optimization, Genetic Programming, Evolutionary Strategies, Ant Colony Optimization, Artificial Bee Colony Algorithm, and Differential Evolution and their applications. Many researchers have utilized these techniques in all kind of Intelligent Agents for optimizing the performance by using jointly or using their parameters in different ways, so till now many form of these techniques have evolved.
The focus areas include (but not limited to) the following topics:
Agent-Based Systems, AI and Evolutionary Algorithm, Ant Colony Optimization, Machine Learning, Genetic Programming, Swarm Intelligence, Robotic Swarm, Reinforcement Learning, Heuristic Search, Automated problem solving, Cognitive Systems and Applications, Collective Intelligence, Intelligent Agents, Decision Support Systems, PSO, GA.
12月06日
2016
12月09日
2016
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