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 …

This paper proposes an energy-aware multi-objective optimization algorithm (EA-MOA) for
solving the hybrid flow shop (HFS) scheduling problem with consideration of the setup …

Bat algorithm is a population metaheuristic proposed in 2010 which is based on the
echolocation or bio-sonar characteristics of microbats. Since its first implementation, the bat …

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 …

Structured population in evolutionary algorithms is a vital strategy to control diversity during
the search. One of the most popular structured population strategies is the island model in …

We study a coordinated serial-batching scheduling problem that features deteriorating jobs,
financial budget, resource constraints, resource-dependent processing times, setup times …

In this paper, an m-stage hybrid flow shop scheduling problem with limited workforce in
charge of performing setup operations is addressed. Indeed, such workforce represents a …

In this paper, alternative selection mechanisms in the bat-inspired algorithm for global
optimization problems are studied. The bat-inspired algorithm is a recent swarm-based …

Bat algorithm (BA), inspired by the foraging behavior of microbats, has become a powerful
swarm intelligence method for solving optimization problems over continuous and discrete …

The open shop scheduling problem involves a set of activities that should be run on a limited
set of machines. The purpose of scheduling open shops problem is to provide a timetable for …