Genetic algorithm for constrained global optimization in continuous variables Export

@article{citeulike:776998, abstract = {We present a stochastic global optimization algorithm, referred to as a Genetic Algorithm (GA), for solving constrained optimization problems over a compact search domain. It is a real-coded GA that converges in probability to the optimal solution. The constraints are treated through a repair operator. A specific repair operator is included for linear inequality constraints.}, author = {Bunnag, Dhiranuch and Sun, Min}, citeulike-article-id = {776998}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.amc.2005.01.075}, citeulike-linkout-1 = {http://www.sciencedirect.com/science/article/B6TY8-4FS5YSF-6/2/a0c5e32e37953ad160257c58885e54e9}, day = {1}, doi = {10.1016/j.amc.2005.01.075}, journal = {Applied Mathematics and Computation}, keywords = {constraint, continuous, evolutionary-computation, genetic-algorithm, metaheuristic, optimization}, month = {December}, number = {1}, pages = {604--636}, posted-at = {2006-08-31 18:49:51}, priority = {4}, title = {Genetic algorithm for constrained global optimization in continuous variables}, url = {http://dx.doi.org/10.1016/j.amc.2005.01.075}, volume = {171}, year = {2005} }

TY - JOUR ID - citeulike:776998 L3 - citeulike-article-id:776998 N2 - We present a stochastic global optimization algorithm, referred to as a Genetic Algorithm (GA), for solving constrained optimization problems over a compact search domain. It is a real-coded GA that converges in probability to the optimal solution. The constraints are treated through a repair operator. A specific repair operator is included for linear inequality constraints. IS - 1 JF - Applied Mathematics and Computation EP - 636 TI - Genetic algorithm for constrained global optimization in continuous variables VL - 171 SP - 604 KW - constraint KW - continuous KW - evolutionary-computation KW - genetic-algorithm KW - metaheuristic KW - optimization AU - Bunnag, Dhiranuch AU - Sun, Min PY - 2005/12/01/ UR - http://dx.doi.org/10.1016/j.amc.2005.01.075 ER -