In recent years, significant attentions have been devoted to design of metaheuristic
optimization algorithms in order to solve optimization problems. Metaheuristic optimizers are …

Meta-heuristics are problem-independent optimization techniques which provide an optimal
solution by exploring and exploiting the entire search space iteratively. These techniques …

In the last three decades, the field of computational intelligence has seen a profusion of
population‐based metaheuristics applied to a variety of problems, where they achieved …

In the field of image processing, there are several problems where the efficient search has to
be performed in complex search domain to find an optimal solution. Image enhancement …

In the field of image processing, there are several problems where an efficient search of the
solutions has to be performed within a complex search domain to find an optimal solution …

Many classical search and optimization algorithms are especially insufficient in solving very
hard large scale nonlinear problems with stringent constraints. Hence, computational …

Archimedes optimization algorithm (AOA) is a recent metaheuristic method inspired by the
Archimedes principle, which is the law of physics. Like other metaheuristic methods, it …

Nowadays, it has become a necessity for operational and reliable operation of networks due
to our increased dependency over the network services. However, intruders are …

Many water‐based optimization metaheuristics have been introduced during the last
decade, both for combinatorial and for continuous optimization. Despite the strong …

As the world progresses towards industrialization, engineering problems become
increasingly complex and it becomes even more difficult to optimize these problems. The …