An Electromagnetism-like Mechanism for Global Optimization
Journal of Global Optimization
Using Genetic Algorithms in Engineering Design Optimization with Non-Linear Constraints
Proceedings of the 5th International Conference on Genetic Algorithms
Numerical Comparison of Some Penalty-Based Constraint Handling Techniques in Genetic Algorithms
Journal of Global Optimization
On the Convergence of a Population-Based Global Optimization Algorithm
Journal of Global Optimization
Self-adaptive velocity particle swarm optimization for solving constrained optimization problems
Journal of Global Optimization
ICCSA '08 Proceedings of the international conference on Computational Science and Its Applications, Part II
Modified movement force vector in an electromagnetism-like mechanism for global optimization
Optimization Methods & Software - THE JOINT EUROPT-OMS CONFERENCE ON OPTIMIZATION, 4-7 JULY, 2007, PRAGUE, CZECH REPUBLIC, PART II
Stochastic ranking for constrained evolutionary optimization
IEEE Transactions on Evolutionary Computation
An artificial fish swarm filter-based method for constrained global optimization
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part III
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We propose an electromagnetism-like (EM) method for constrained global optimization. The method is a modified version of the unconstrained EM method. We introduce the charge calculation of a point based on both the function value and the total constraint violations. Hence, the calculation of the total force vector is different from the original EM method. The new method is not penalty function-based and therefore the difficulty with the choice of the penalty parameter value does not arise. We have tested our method on a set of 13 benchmark test problems. Results obtained are compared with those from some recent algorithms. The comparisons show that our proposed method is suitable for solving constrained optimization problems.