ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

In this study, we focus on investigating a nonsmooth convex optimization problem involving the l 1-norm under a non-negative constraint, with the goal of developing an inverse-problem solver for image ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

Your CEO just forwarded you another LinkedIn post claiming “AI killed SEO overnight.” Your client is panicking about ChatGPT stealing their traffic. And you’re wondering if you should throw out ...

Abstract: In this paper, for the first time, the Crow Search Algorithm is applied to tune a nonlinear feedforward/feedback controller for fed-batch cultivation process control. The designed controller ...

Algorithm design and scientific discovery often demand a meticulous cycle of exploration, hypothesis testing, refinement, and validation. Traditionally, these processes rely heavily on expert ...

Abstract: This paper proposes a modified crow search algorithm with local search and niching technique. The primitive crow search algorithm is a newly developed population-based algorithm which gained ...