The deep sleep optimiser: A human-based metaheuristic approach

SO Oladejo, SO Ekwe, LA Akinyemi, SA Mirjalili - IEEE Access, 2023 - ieeexplore.ieee.org
Owing to the no free lunch theorem, no single optimisation algorithm can solve all
optimisation problems accurately, so new optimisation techniques are required. In this …

Fuzzy-energy-management-based intelligent direct torque control for a battery—supercapacitor electric vehicle

A Oubelaid, H Alharbi, ASB Humayd, N Taib… - Sustainability, 2022 - mdpi.com
This paper presents a proposed fuzzy energy management strategy developed for a
battery− super capacitor electric vehicle. In addition to providing different driving modes, the …

An intelligent integrated approach for efficient demand side management with forecaster and advanced metering infrastructure frameworks in smart grid

A Nawaz, G Hafeez, I Khan, KU Jan, H Li… - IEEE …, 2020 - ieeexplore.ieee.org
The development of advanced metering infrastructure (AMI) in smart grid (SG) had enabled
consumers to participate in demand-side management (DSM) using the price-based …

Ebola Optimization Search Algorithm (EOSA): A new metaheuristic algorithm based on the propagation model of Ebola virus disease

ON Oyelade, AE Ezugwu - arXiv preprint arXiv:2106.01416, 2021 - arxiv.org
The Ebola virus and the disease in effect tend to randomly move individuals in the
population around susceptible, infected, quarantined, hospitalized, recovered, and dead sub …

A Contemporary Systematic Review on Meta-heuristic Optimization Algorithms with Their MATLAB and Python Code Reference

R Salgotra, P Sharma, S Raju, AH gandomi - Archives of Computational …, 2024 - Springer
Optimization is a method which is used in every field, such as engineering, space, finance,
fashion market, mass communication, travelling, and also in our daily activities. In every …

Research progress of nature-inspired metaheuristic algorithms in mobile robot path planning

Y Xu, Q Li, X Xu, J Yang, Y Chen - Electronics, 2023 - mdpi.com
The research of mobile robot path planning has shifted from the static environment to the
dynamic environment, from the two-dimensional environment to the high-dimensional …

Implementing evolutionary optimization on actual quantum processors

G Acampora, A Vitiello - Information Sciences, 2021 - Elsevier
This paper introduces a new evolutionary algorithm with the support of an actual quantum
processor, a computing device which uses phenomena from quantum mechanics to enable …

Integrated optimization algorithm: A metaheuristic approach for complicated optimization

C Li, G Chen, G Liang, F Luo, J Zhao, ZY Dong - Information Sciences, 2022 - Elsevier
This paper proposes an integrated optimization algorithm (IOA) designed for solving
complicated optimization problems that are non-convex, non-differentiable, non-continuous …

Selection of surrogate modeling techniques for surface approximation and surrogate-based optimization

B Williams, S Cremaschi - Chemical Engineering Research and Design, 2021 - Elsevier
Surrogate models are used to map input data to output data when the actual relationship
between the two is unknown or computationally expensive to evaluate for several …

[PDF][PDF] Fixed Step Average and Subtraction Based Optimizer.

PD Kusuma, A Dinimaharawati - International Journal of Intelligent …, 2022 - inass.org
This work proposes a new metaheuristic algorithm: a fixed-step average and subtraction-
based optimizer (FS-ASBO). This algorithm is the improved version of the average and …