[HTML][HTML] Integrating Differential Evolution into Gazelle Optimization for advanced global optimization and engineering applications

S Biswas, G Singh, B Maiti, AES Ezugwu… - Computer Methods in …, 2025 - Elsevier
Abstract The Gazelle Optimization Algorithm (GOA) is an innovative metaheuristic inspired
by the survival tactics of gazelles in predator-rich environments. While GOA demonstrates …

A hybrid load forecasting system based on data augmentation and ensemble learning under limited feature availability

Q Yang, Z Tian - Expert Systems with Applications, 2025 - Elsevier
Accurate power load forecasting is an important part of power system operation planning, it
can ensure the stable operation of power systems and improve the efficiency of energy …

Application of the 2-archive multi-objective cuckoo search algorithm for structure optimization

GG Tejani, N Mashru, P Patel, SK Sharma, E Celik - Scientific Reports, 2024 - nature.com
The study suggests a better multi-objective optimization method called 2-Archive Multi-
Objective Cuckoo Search (MOCS2arc). It is then used to improve eight classical truss …

DMT-OMPA: Innovative applications of an efficient adversarial Marine Predators Algorithm based on dynamic matrix transformation in engineering design optimization

Z Zhang, SC Chu, TT Nguyen, X Wang… - Computer Methods in …, 2024 - Elsevier
This paper introduces an innovative variant of the Marine Predators Algorithm (MPA), termed
the Dynamic Matrix Transformation-based Oppositional Marine Predators Algorithm (DMT …

Optimization and performance analysis of integrated energy systems considering hybrid electro-thermal energy storage

XY Ren, ZH Wang, MC Li, LL Li - Energy, 2025 - Elsevier
As the integration and complexity of integrated energy systems (IES) continue to increase,
the synergistic optimization of operation strategies and configuration schemes is …

A Decomposition-based multi-objective flying foxes optimization algorithm and its applications

C Zhang, Z Song, Y Yang, C Zhang, Y Guo - Biomimetics, 2024 - pmc.ncbi.nlm.nih.gov
The flying foxes optimization (FFO) algorithm stimulated by the strategy used by flying foxes
for subsistence in heat wave environments has shown good performance in the single …

An improved multi-island genetic algorithm and its utilization in the optimal design of a micropositioning stage

W He, X Tang, W Ji, L Meng, J Wei, D Cao, C Ma… - Expert Systems with …, 2024 - Elsevier
An improved multi-island genetic algorithm (IMIGA) by integrating various common
improvement methods, optimized through D-optimal and analysis of variance (ANOVA) …

Solving single-and multi-objective optimal power flow problems using the spider wasp optimization algorithm

H Merah, M Jameel, A Gacem, DB Attous, M Ebeed… - Electrical …, 2025 - Springer
Balancing exploration and exploitation is a common challenge in optimization algorithms,
often leading to suboptimal performance. To address this issue, researchers have …

Design cost minimization of a reinforced concrete column section using overnew swarm-based optimization algorithms

O Tunca, S Carbas - Neural Computing and Applications, 2024 - Springer
It is very tiresome for a practiser to detect the best feasible sizing design of structural
members including reinforced concrete columns that is a highly nonlinear and complicated …

[HTML][HTML] Optimal Allocation of Urban Water Resources Based on Multi-Objective Nutcracker Optimization Algorithm

D Wang, D Zhang, Z Liu, L Li, X Liu - Water, 2024 - mdpi.com
The imbalance between water supply and demand (WSD) has been growing noticeable as
a result of the economy's fast expansion which can be effectively alleviated using optimal …