… is the binary optimisation problems. … problem, the bat algorithm, and the mapping functions
used in this work. In Section 3, we introduce the proposed binary variants of the bat algorithm. …

… enhancement of Bat Algorithm is proposed to solve global numerical optimisation problems.
Two … are generated to improve performance in exploration and exploitation of Bat Algorithm. …

… to effectively handle the many objective problems. Moreover, we have called this algorithm
as many objective bat algorithm (MaOBAT). This algorithm is a biologically inspired algorithm…

… Although GA can use binary encoding to solve discrete optimisation problems, it … algorithm
to solve the CCO of micro-grid. The bat algorithm (BA) is an intelligent optimisation algorithm …

… optimisation method developed for the global numerical optimisation, in which the search
algorithm … In bat algorithm, each bat is defined by its position velocity frequency f i , loudness A …

… problems in different engineering fields. One of the most important characteristics of the bat
algorithm … addition to its ability to obtain reliable results for low dimensional problems. As the …

… algorithms in single objective optimisation, constrained optimisation and multi objective
optimisation problems … Then, investigation of bat algorithm and its variants is presented in section …

… hybrid flow shop (HFS) scheduling problems using the new bat algorithm. A HFS is the …
A multi-objective BA was developed to solve design optimisation problems such as welded …

… In recent decades, the literature on metaheuristic methods has expanded quickly, and
the number of nature-inspired algorithms to address challenging optimisation problems has …

… of multi-objective optimisation problems (MOOP). Afterward, we explain the ARM, finally
we describe the bat algorithm and its extended version for multi-objective optimisation. …