Metaheuristic algorithms are a class of algorithms used to solve complex optimization problems by employing search and optimization techniques to find the best or near-optimal solutions. Over the past ...

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 ...

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 ...

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: In the contemporary world, where the escalating demand for energy and the imperative for sustainable sources, notably solar energy, have taken precedence, the investigation into solar ...

ABSTRACT: This article addresses the issues of falling into local optima and insufficient exploration capability in the Arithmetic Optimization Algorithm (AOA), proposing an improved Arithmetic ...

General approach for combining modular metaheuristic software frameworks and automatic configuration tools. To discourage the inefficient manual invention and configuration of new metaheuristic ...

Metaheuristic algorithms are problem-solving approaches that draw inspiration from the processes observed in nature, such as evolution, swarm behavior, and physical phenomena. Unlike traditional ...

Discover how the Instagram algorithm works in 2023 from CEO Adam Mosseri and get answers about ranking, reach, and shadowbanning. Adam Mosseri, CEO of Instagram, released a new video and blog post ...

Abstract: Metaheuristic algorithms have been investigated intensively to address highly complex combinatorial optimization problems. However, most metaheuristic algorithms have been designed manually ...