Metaheuristics are strategies that guide the search process. The goal is to efficiently explore the search space in order to find optimal or near–optimal solutions. Techniques which constitute …

Mar 18, 2024 · For instance, we can employ graph theory and algorithms to define the shortest path between two specific points. Furthermore, we can calculate the best allocation of items in …

Mar 18, 2024 · In this tutorial, we’ll examine the class of metaheuristic algorithms inspired by various natural elements. This will require us to understand what metaheuristics are and why …

Aug 1, 2020 · Highlighting the significance of meta-heuristic optimization algorithms, and several advantages they provide to tackle challenges encountered in the graph coloring. Organizing …

Apr 1, 2024 · Therefore, we propose a multi-satellite cooperative scheduling method for large-scale tasks based on a hybrid graph neural network (GNN) and metaheuristic algorithm.

Mar 6, 2018 · Meta-heuristics are a class of algorithms that intend to extend heuristics. A heuristic is a "practical" approach to a problem, that does not guarantee to be optimal, but that is …

Apr 21, 2025 · In this study, we propose a new island-parallel ensemble metaheuristic algorithm (PEM-Color) to solve large GCP instances. Ensemble learning is a new machine learning …

Metaheuristic optimization algorithms are versatile and adaptable tools that effectively solve various complex optimization problems. These algorithms are not restricted to specific types of …

Definition (Metaheuristic) A metaheuristic is a general algorithm that can produce approximate solutions for a class of different optimization problems.

Nov 4, 2020 · In this research, a metaheuristic approach that combines a deterministic algorithm and a heuristic algorithm is proposed, in order to approximate the chromatic number of a graph.