A survey on new generation metaheuristic algorithms
Metaheuristics are an impressive area of research with extremely important improvements in
the solution of intractable optimization problems. Major advances have been made since the …
the solution of intractable optimization problems. Major advances have been made since the …
An exploration-enhanced grey wolf optimizer to solve high-dimensional numerical optimization
W Long, J Jiao, X Liang, M Tang - Engineering Applications of Artificial …, 2018 - Elsevier
Grey wolf optimizer (GWO) algorithm is a relatively novel population-based optimization
technique that has the advantage of less control parameters, strong global optimization …
technique that has the advantage of less control parameters, strong global optimization …
Nature inspired methods and their industry applications—Swarm intelligence algorithms
A Slowik, H Kwasnicka - IEEE Transactions on Industrial …, 2017 - ieeexplore.ieee.org
In this paper, we present the swarm intelligence (SI) concept and mention some
metaheuristics belonging to the SI. We present the particle swarm optimization (PSO) …
metaheuristics belonging to the SI. We present the particle swarm optimization (PSO) …
Nature-Inspired Heuristic Frameworks Trends in Solving Multi-objective Engineering Optimization Problems
Nowadays, nature-inspired artificial intelligent metaheuristic optimization algorithms
(MHOAs) have gained many attentions from researchers all over the world due to their …
(MHOAs) have gained many attentions from researchers all over the world due to their …
A new class topper optimization algorithm with an application to data clustering
In this paper, a new Class Topper Optimization (CTO) algorithm is proposed. The
optimization algorithm is inspired from the learning intelligence of students in a class. The …
optimization algorithm is inspired from the learning intelligence of students in a class. The …
A novel harmony search algorithm and its application to data clustering
K Talaei, A Rahati, L Idoumghar - Applied Soft Computing, 2020 - Elsevier
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 …
harmony search (BWM_HS). The main difference between the proposed algorithm and the …
A similarity hybrid harmony search algorithm for the team orienteering problem
Abstract The Harmony Search (HS) is a metaheuristic algorithm, which is inspired from the
composition of music harmonies. The functionality and flexibility of HS contribute to the …
composition of music harmonies. The functionality and flexibility of HS contribute to the …
An improved differential harmony search algorithm for function optimization problems
To overcome the drawbacks of the harmony search (HS) algorithm and further enhance its
effectiveness and efficiency, an improved differential HS (IDHS) is proposed to solve …
effectiveness and efficiency, an improved differential HS (IDHS) is proposed to solve …
An improved differential-based harmony search algorithm with linear dynamic domain
Q Zhu, X Tang, Y Li, MO Yeboah - Knowledge-Based Systems, 2020 - Elsevier
As a relatively new optimization algorithm, Harmony Search (HS) has been widely used to
solve global optimization tasks in various fields due to its simplicity of operation and good …
solve global optimization tasks in various fields due to its simplicity of operation and good …
An on-line variable-fidelity surrogate-assisted harmony search algorithm with multi-level screening strategy for expensive engineering design optimization
This paper presents an on-line variable-fidelity surrogate-assisted harmony search
algorithm (VFS-HS) for expensive engineering design optimization problems. VFS-HS …
algorithm (VFS-HS) for expensive engineering design optimization problems. VFS-HS …