Nowadays, nature-inspired artificial intelligent metaheuristic optimization algorithms
(MHOAs) have gained many attentions from researchers all over the world due to their …

The harmony search (HS) algorithm is one of the most popular meta-heuristic algorithms.
The basic idea of HS was inspired by the music improvisation process in which the …

In this paper, an enhanced, memory-assisted version of the multi-verse optimizer (MVO) is
proposed for the shape and size optimization of various types of truss structures. The …

In this paper, optimum design of building structures is conducted by metaheuristic algorithms
due to the shortcomings of the conventional design methods in providing economical …

This paper presents a variant of harmony search algorithm (HS), called best–worst-mean
harmony search (BWM_HS). The main difference between the proposed algorithm and the …

The flow shop scheduling with blocking is considered an important scheduling problem
which has many real-world applications. This paper proposes a new algorithm which …

Harmony search (HS) is a type of population-based optimization algorithm that is introduced
based on the idea of musical instruments being tuned to obtain the best harmony state …

Differential evolution (DE) algorithm has some excellent attributes including strong
exploration capability. However, it cannot balance the exploitation with exploration ability in …

Fireworks algorithm performs better in solving some complex real-world engineering
optimization problems, but it like other swarm intelligent algorithms, which also have the …

Harmony Search (HS) is a music-inspired optimization algorithm for solving complex
optimization problems that imitate the musical improvisational process. This paper reviews …