Comprehensive taxonomies of nature-and bio-inspired optimization: Inspiration versus algorithmic behavior, critical analysis recommendations

D Molina, J Poyatos, JD Ser, S García, A Hussain… - Cognitive …, 2020 - Springer
In recent algorithmic family simulates different biological processes observed in Nature in
order to efficiently address complex optimization problems. In the last years the number of …

[HTML][HTML] An evolutionary multi-algorithm based framework for the parametric estimation of proton exchange membrane fuel cell

P Sharma, S Raju, R Salgotra - Knowledge-Based Systems, 2024 - Elsevier
This paper proposes a multi-strategy, multiple algorithms based hybrid strategy using flower
pollination algorithm (FPA), grey wolf optimizer (GWO), INFO, and naked mole rat algorithm …

A metaheuristic Multi-Objective optimization of energy and environmental performances of a Waste-to-Energy system based on waste gasification using particle …

X Qiao, J Ding, C She, W Mao, A Zhang, B Feng… - Energy Conversion and …, 2024 - Elsevier
Studies focusing on the optimization of waste-to-energy systems using metaheuristic particle
swarm optimization (PSO) are crucial in our pursuit of sustainable and renewable energy …

[HTML][HTML] Half a century of Omega–The International Journal of Management Science: A bibliometric analysis

W Hussain, JM Merigó, I Rahimi, B Lev - Omega, 2024 - Elsevier
Abstract Omega–The International Journal of Management Science is a leading
international journal in management science and operations research. In 2023, Omega …

Optimization of stand-alone hybrid renewable energy system based on techno-socio-enviro-financial perspective using improved red-tailed hawk algorithm

AA Rathod, S Balaji - Applied Energy, 2024 - Elsevier
The generation of electricity from Renewable Energy Sources (RES) in off-grid systems has
increased rapidly over the last several years, mostly to satisfy regional electricity demand …

A multi-hybrid algorithm with shrinking population adaptation for constraint engineering design problems

R Salgotra, P Sharma, S Raju - Computer Methods in Applied Mechanics …, 2024 - Elsevier
A multi-hybrid algorithm is proposed in this paper based on the Kepler Optimization
algorithm (KOA), Red Panda Optimization (RPO), Meerkat Optimization (MO), and Grey Wolf …

A heuristic-optimized interval regression model for characterizing strength development of cemented soil subjected to varied temperatures

H Cai, C Chen, W Li, F Mao - Construction and Building Materials, 2024 - Elsevier
The inherent bias between inferred results from small-sized data and true values can be
mitigated through the introduction of resampling and interval regression techniques …

An improved Kepler optimization algorithm for module parameter identification supporting PV power estimation

G Moustafa, H Alnami, AR Ginidi, AM Shaheen - Heliyon, 2024 - cell.com
Identification of photovoltaic (PV) module characteristics in solar systems is a vital task,
nowadays, for optimal PV power estimation. In this paper, this challenge task has been …

[HTML][HTML] Self-tuning multi-layer optimization algorithm (STML): An innovative parameter-less approach

B Zolghadr-Asli, M Latifi, RB Zali, MR Nikoo… - Applied Soft …, 2024 - Elsevier
Computational intelligence (CI)-based methods offer a practical approach to overcoming the
significant challenges posed by analytical and enumeration optimization methods when …

[PDF][PDF] Sculptor Optimization Algorithm: A New Human-Inspired Metaheuristic Algorithm for Solving Optimization Problems.

T Hamadneh, K Kaabneh, O AlSayed… - International Journal of …, 2024 - inass.org
In this paper, a new metaheuristic algorithm called Sculptor Optimization Algorithm (SOA) is
introduced and designed, which imitates the sculpting process. The main idea in SOA …