Cooperative co-evolutionary teaching-learning based algorithm with a modified exploration strategy for large scale global optimization

摘要: Evolutionary Algorithms, inspired from the Darwinian theory on evolution of species, are heuristic method for solving difficult unimodal and multimodal functions. But ultimate disadvantage those Algorithms is premature convergence, i.e. trapping in a local optimum due to poor exploration strategy. In case High Dimensional problems, there huge chances convergence prematurely large search space, which grows exponentially with increase dimension problem. this paper modified Teaching-Learning-Based technique used investigate effectiveness different cooperative co-evolutionary framework high dimensional problems.