C25: Soft Computing: Swarm and Evolutionary Computations and Applications

Paper Submission for C25

SMC2018:C25 submission site (external site)


Nature inspired metaheuristics have demonstrated excellent performance in solving a variety of optimization and search problems. This special session will focus on these methods, their hybridizations, and their applications to solve practical real-world problems. Some of the older nature inspired methods includes genetic algorithms, evolution strategies, ant colony optimization, differential evolution, particle swarm optimization, and so on. This special session welcomes recently developed nature inspired algorithms too. This special session also welcomes optimization scenarios such as bound constrained, multi-objective, many objective, dynamic, niching, expensive problems, general constraints, combinatorial, large scale and so on. This special session also welcomes hybridization of these nature inspired methods with heuristics, neural networks, fuzzy systems and machine learning. Applications of these nature inspired methods for solving problems from all engineering, medical and science fields are welcomed.

Session Chairs