Bat algorithm (BA) is one of the recently proposed heuristic algorithms imitating the
echolocation behavior of bats to perform global optimization. The superior performance of …

Abstract Particle Swarm Optimization (PSO) is one of the most widely used heuristic
algorithms. The simplicity and inexpensive computational cost makes this algorithm very …

The PSOGSA is a novel hybrid optimization algorithm, combining strengths of both particle
swarm optimization (PSO) and gravitational search algorithm (GSA). It has been proven that …

This paper presents a novel binary bat algorithm (NBBA) to solve 0–1 knapsack problems.
The proposed algorithm combines two important phases: binary bat algorithm (BBA) and …

Harmony Search (HS), inspired by the music improvisation process, is a new meta-heuristic
optimization method and has been successfully used to tackle the optimization problems in …

In order to find efficient solutions to real complex world problems, computer sciences and
especially heuristic algorithms are often used. Heuristic algorithms can give optimal …

As an important subset of combinatorial optimization, 0–1 knapsack problems, especially the
high-dimensional ones, are often difficult to solve. This study aims to provide a new …

This study proposes a new self-adaptive binary variant of a differential evolution algorithm,
based on measure of dissimilarity and named SabDE. It uses an adaptive mechanism for …

Harmony search (HS) is a meta-heuristic method that has been applied widely to continuous
optimization problems. In this study, a new binary coded version of HS, named NBHS, is …

Transfer functions are considered the simplest and cheapest operators in designing discrete
heuristic algorithms. The main advantage of such operators is the maintenance of the …