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

In the past three decades nature-inspired and meta-heuristic algorithms have dominated the
literature in the broad areas of search and optimization. Harmony search algorithm (HSA) is …

In the field of engineering and industry, metaheuristics have been renowned for providing
powerful clarification on a large number of problems of today in combination optimisation …

Feature selection is a process to reduce the dimension of a dataset by removing redundant
features, and to use the optimal subset of features for machine learning or data mining …

This paper presents a self-adaptive global best harmony search (SGHS) algorithm for
solving continuous optimization problems. In the proposed SGHS algorithm, a new …

Abstract The University Course Scheduling Problem (UCSP) is a highly constrained real-
world combinatorial optimization task. Solving UCSP means creating an optimal course …

Optimizing the distribution and allocation of resources among individuals is one of the most
important measures to be taken at the time of crisis. Time, as a vital factor, has a significant …

The theoretical analysis of evolutionary algorithms is believed to be very important for
understanding their internal search mechanism and thus to develop more efficient …

Wireless sensor networks (WSNs) is one of the most important technologies in this century.
As sensor nodes have limited energy resources, designing energy-efficient routing …

In this paper, a novel hybrid harmony search (HHS) algorithm based on the integrated
approach, is proposed for solving the flexible job shop scheduling problem (FJSP) with the …