Heuristic optimization algorithms which are inspired by nature have become very popular for
solving real world problems recently. The use of these algorithms increases day by day in …

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 …

Heuristic optimization techniques have became very popular techniques and have
widespread usage areas. Since they do not include mathematical terms, heuristic methods …

The bat algorithm (BA) is a new bionic intelligent optimization algorithm to simulate the
foraging behavior and the echolocation principle of the bats. The parameter initialization of …

Bat algorithm (BA) is a population-based metaheuristic algorithm inspired by echolocation
behavior of bat. After the development of BA in 2010, it becomes the attention of researchers …

The area of metaheuristic optimization algorithms has been attracting researchers for many
years. These algorithms have built in capability to explore a large region of the solution …

Bat Algorithm is recently proposed bio-inspired metaheuristics method for solving hard
optimization tasks. It mimics behavior of bats hunting for their prey. The paper introduces …

Metaheuristic algorithms such as particle swarm optimization, firefly algorithm and harmony
search are now becoming powerful methods for solving many tough optimization problems …

Bat algorithm is a swarm intelligent algorithm inspired by the echolocation behaviour of bats.
Recently, there are many research works focus on this algorithm, however, most of them are …

A novel bat algorithm (NBA) is proposed for optimization in this paper, which focuses on
further mimicking the bats' behaviors and improving bat algorithm (BA) in view of biology …