Optimizing photovoltaic tilt angles to maximize solar radiation capture remains a critical and challenging task. This paper proposes HMWOAIGWO, a novel hybrid metaheuristic algorithm that integrates ...
Transformer-for-Metaheuristic-Algorithm-Selection/ ├── 📁 src/ # Core source code │ ├── benchmarks/ # 12 optimization benchmark functions │ ├── metaheuristics/ # 4 optimization algorithms │ ├── ...
Directional Overcurrent Relay (DOCR) coordination has become an increasingly important problem in modern distribution networks, where growing system complexity and high fault-current variability ...
In the field of optimization, metaheuristic algorithms have garnered significant interest. These algorithms, which draw inspiration from natural selection, evolution, and problem-solving strategies, ...
Abstract: Transportation companies are known to charge a fixed fee in addition to the price per unit of the product. This makes the transportation problem an NP-hard problem. We propose an algorithm ...
Abstract: Wind-based power generation, which is a safe and clean energy resource, has a widespread implementation around the world to reduce the environmental pollution, alleviate the energy crisis ...
Metaheuristic algorithms are high-level frameworks designed to find optimal or near-optimal solutions for complex optimization problems. They combine various techniques inspired by natural processes, ...
ABSTRACT: This paper addresses the shortcomings of the Sparrow and Eagle Optimization Algorithm (SBOA) in terms of convergence accuracy, convergence speed, and susceptibility to local optima. To this ...
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