The harmony search (HS) algorithm is a relatively new population-based metaheuristic
optimization algorithm. It imitates the music improvisation process where musicians …

This paper thoroughly reviews and analyzes the main characteristics and application
portfolio of the so-called Harmony Search algorithm, a meta-heuristic approach that has …

Nowadays, information technology (IT) has been holding a significant role in daily life
worldwide. The trajectory of data science and bioinformatics promises pioneering …

Automatic magnetic resonance imaging (MRI) brain segmentation is a challenging problem
that has received significant attention in the field of medical image processing. In this paper …

Nature-Inspired Computing: Physics and Chemistry-Based Algorithms provides a
comprehensive introduction to the methodologies and algorithms in nature-inspired …

Harmony Search (HS) is a meta-heuristic algorithm which bases its operation on the musical
improvisation process. Recently, HS has become a popular algorithm in the evolutionary …

A novel approach to the problem of grid-based path finding has been introduced. The
method is a block-based search algorithm, founded on the bases of two algorithms, namely …

This paper presents a new optimization algorithm called GHS+ LEM, which is based on the
Global-best Harmony Search algorithm (GHS) and techniques from the learnable evolution …

While dealing with real world data for classification using ANNs, it is often difficult to
determine the optimal ANN classification model with fast convergence. Also, it is laborious to …

In a large number of experimental problems, high dimensionality of the search area and
economical constraints can severely limit the number of experimental points that can be …