Improving real-parameter genetic algorithm with simulated annealing for engineering problems
Advances in Engineering Software
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
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In this paper, the optimization of compression helical springs is investigated. The design process involves determining wire material, end type of the spring and wire diameter. In this regards, important design constraints are taken into account. The objective is to minimize the figure of merit, which shows the relative cost of spring. Two heuristic algorithms, namely simulated annealing and ant colony optimization, are employed to optimize the spring. The results obtained by these methods are compared with each other, and with the exact solution of the problem.