The new performance assessment method is demonstrated for the genetic algorithm in matlab R2018b, applied to seven common structural optimization test problems, where it successfully detects ...

Summary <p>This chapter presents the integration of machine learning techniques into metaheuristic algorithm by developing adaptive search strategies to improve the optimization process. The ...

Overview An adaptive metaheuristic algorithm inspired by Arctic puffin behavior, optimized for high performance on the CEC 2017 benchmark suite. Developed in early 2024, APO combines strategies from ...

We propose a hybridized method where we combine an adaptive multidimensional integration algorithm and a metaheuristic algorithm called imperialist competitive algorithm to find Bayesian optimal ...

MATLAB code for Feature Selection for High-Dimensional Imbalanced Malware Data Using Filter and Wrapper Selection Methods This code is designed to conduct feature selection task using both filter ...

Task offloading is the fundamental mechanism in edge computing and offloading strategy is of great significance to the quality-of-service of an edge computing system. This paper proposes an effective ...

Milling is a prevalent machining technique employed in various industries for the production of metallic and non-metallic components. This article focuses on the optimization of cutting parameters for ...