Abstract: Data-driven evolutionary algorithms (DDEAs) have achieved significant success in numerous real-world optimization problems, where exact objective functions and constraint functions do not ...
The final, formatted version of the article will be published soon. This paper presents a modified version of Particle Swarm Optimization (PSO) using all-optical computational update mechanism. The ...
Quantum computing is an emerging paradigm that leverages the principles of quantum mechanics to solve computational problems beyond the reach of classical computers. This article provides an overview ...
Investors who want to capitalize on the future of quantum computing have a few options. Even as it pushes ahead in AI, Alphabet is making notable headway in quantum computing. IonQ is a pure-play ...
Abstract: Evolutionary multi-task optimization is an emerging research topic in the field of evolutionary computation. It aims to achieve simultaneous optimization of different tasks by dynamically ...
The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been investigated for years. In a recent breakthrough published in the Chinese Journal of ...
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