The bat algorithm (BA) is one of the metaheuristic algorithms that are used to solve
optimization problems. The differential evolution (DE) algorithm is also applied to …

Optimization can be defined as an effort of generating solutions to a problem under bounded
circumstances. Optimization methods have arisen from a desire to utilize existing resources …

Abstract Artificial Bee Colony (ABC) and Differential Evolution (DE) are two very popular and
efficient meta-heuristic algorithms. However, both algorithms have been applied to various …

The bat algorithm (BA) is a novel evolutionary optimization algorithm, most studies of which
have been performed with low-dimensional problems. To test and improve the global search …

Bat algorithm (BA) is one of the promising metaheuristic algorithms. It proved its efficiency in
dealing with various optimization problems in diverse fields, such as power and energy …

Bat Algorithm (BA) is a swarm intelligence algorithm which has been intensively applied to
solve academic and real life optimization problems. However, due to the lack of good …

Difficulties of tackling real-world problems with their growing complexities motivated
computer scientists to search for more efficient problem solving approaches. Metaheuristic …

Bat algorithm (BA) has been widely used to solve the diverse kinds of optimisation problems.
In accordance with the optimisation problems, balance between the two major components …

Bat algorithm (BA) is a heuristic optimization algorithm based on swarm intelligence and the
inspiration from the nature behavior of bats. It has some advantages including fast solving …

Differential Evolution (DE) is a simple yet efficient global optimization algorithm. However,
the standard DE and most of its variants operate in the continuous space, which cannot …