A Proximal Gradient Method with an Explicit Line search for Multiobjective Optimization (original) (raw)
2024, arXiv (Cornell University)
AI-generated Abstract
This paper proposes a proximal gradient method tailored for multiobjective optimization, incorporating an explicit line search mechanism. The approach aims to enhance convergence speed and solution quality in scenarios involving multiple conflicting objectives. Theoretical foundations are established, accompanied by algorithmic implementations and numerical experiments that demonstrate the method's efficacy compared to existing techniques.
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