6 papers
Random Walk on Bézier Curves for Global Optimization
Jinpeng Wang, Xingguo Xu, Yujing Sun +3
Balancing exploration and exploitation remains a central challenge in metaheuristic optimization. To address this issue, this paper proposes Bézier Walk Evolution (BWE), a geometr…
Dogfight Search: A Swarm-Based Optimization Algorithm for Complex Engineering Optimization and Mountainous Terrain Path Planning
Yujing Sun, Jie Cai, Xingguo Xu +4
Dogfight is a tactical behavior of cooperation between fighters. Inspired by this, this paper proposes a novel metaphor-free metaheuristic algorithm called Dogfight Search (DoS). U…
A Benchmark Suite for Multi-Objective Optimization in Battery Thermal Management System Design
Kaichen Ouyang, Yezhi Xia
Synthetic Benchmark Problems (SBPs) are commonly used to evaluate the performance of metaheuristic algorithms. However, these SBPs often contain various unrealistic properties, pot…
Why Flow Matching is Particle Swarm Optimization?
Kaichen Ouyang
This paper preliminarily investigates the duality between flow matching in generative models and particle swarm optimization (PSO) in evolutionary computation. Through theoretical…
Consciousness as a Jamming Phase
Kaichen Ouyang
This paper develops a neural jamming phase diagram that interprets the emergence of consciousness in large language models as a critical phenomenon in high-dimensional disordered s…
Rethinking Over-Smoothing in Graph Neural Networks: A Perspective from Anderson Localization
Kaichen Ouyang
Graph Neural Networks (GNNs) have shown great potential in graph data analysis due to their powerful representation capabilities. However, as the network depth increases, the issue…