The genetic algorithm (GA), a powerful optimization technique for multiple extrema functions in multidimensional search spaces, is applied in conjunction with stress analysis to achieve optimum designs of bolted composite lap joints.
Furthermore, it is a stochastic search technique that can be used in finding the global optimum solution in a complex multidimensional search space.
The latter avoids multidimensional search in the parameter space.
The proposed algorithm can avoid multidimensional search and parameter pairing.
In addition, it requires neither pairing parameters nor multidimensional search.
This multidimensional search procedure can, however, be overly expensive if the number of channel gets larger.
It can avoid the parameter pairing problem and complex multidimensional search.
The proposed algorithm can localize mixed sources without parameter pairing and multidimensional search.
Each individual within the swarm is represented by a vector in multidimensional search space.
(i) WWP line search technique.
