[HTML][HTML] Integrating Differential Evolution into Gazelle Optimization for advanced global optimization and engineering applications
Abstract The Gazelle Optimization Algorithm (GOA) is an innovative metaheuristic inspired
by the survival tactics of gazelles in predator-rich environments. While GOA demonstrates …
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 …
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
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 …
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
This paper introduces an innovative variant of the Marine Predators Algorithm (MPA), termed
the Dynamic Matrix Transformation-based Oppositional Marine Predators Algorithm (DMT …
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 …
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 …
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) …
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
Balancing exploration and exploitation is a common challenge in optimization algorithms,
often leading to suboptimal performance. To address this issue, researchers have …
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
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 …
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 …
a result of the economy's fast expansion which can be effectively alleviated using optimal …