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Directed searching optimization algorithm for constrained optimization problems.
A directed searching optimization algorithm (DSO) is proposed to solve constrained optimization problems The proposed algorithm includes two important operations — position updating
and genetic mutation. Position updating enables the non-best solution vectors to mimic the best one,
which is beneficial to the convergence of the DSO genetic mutation can increase the diversity of individuals,
which is beneficial to preventing the premature convergence of the DSO. In addition-Directed searching optimization algorithm for constrained optimization problems.
A directed searching optimization algorithm (DSO) is proposed to solve constrained optimization problems The proposed algorithm includes two important operations — position updating
and genetic mutation. Position updating enables the non-best solution vectors to mimic the best one,
which is beneficial to the convergence of the DSO genetic mutation can increase the diversity of individuals,
which is beneficial to preventing the premature convergence of the DSO. In addition
A directed searching optimization algorithm (DSO) is proposed to solve constrained optimization problems The proposed algorithm includes two important operations — position updating
and genetic mutation. Position updating enables the non-best solution vectors to mimic the best one,
which is beneficial to the convergence of the DSO genetic mutation can increase the diversity of individuals,
which is beneficial to preventing the premature convergence of the DSO. In addition-Directed searching optimization algorithm for constrained optimization problems.
A directed searching optimization algorithm (DSO) is proposed to solve constrained optimization problems The proposed algorithm includes two important operations — position updating
and genetic mutation. Position updating enables the non-best solution vectors to mimic the best one,
which is beneficial to the convergence of the DSO genetic mutation can increase the diversity of individuals,
which is beneficial to preventing the premature convergence of the DSO. In addition
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code/
code/Fitness.m
code/HarmonySearch3.m
code/Fitness.m
code/HarmonySearch3.m
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