Abstract: The Willow Catkin Optimization Algorithm (WCO) is a newly proposed meta-heuristic algorithm in recent years that has a simple structure and excellent optimization searching ability, but the ...

NVIDIA's GPU-accelerated cuOpt engine discovers new solutions for four MIPLIB benchmark problems, outperforming CPU solvers with 22% lower objective gaps. NVIDIA's cuOpt optimization engine has found ...

Optimization problems often involve situations in which the user's goal is to minimize and/or maximize not a single objective function, but several, usually conflicting, functions simultaneously. Such ...

We walk through an optimization problem step by step, clearly explaining how to identify variables, set up the correct function, apply derivatives, and find maximum or minimum values. Each step is ...

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At first blush, Chinese e-commerce enterprise JD.com, Inc. (NASDAQ: JD) seems to have cast a dark shadow over bullish investors. For one thing, the performance of JD stock hasn't been all that great, ...

A general-purpose Model Context Protocol (MCP) server for solving combinatorial optimization problems with logical and numerical constraints. This server provides a unified interface to multiple ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

Abstract: In the paper, we discuss multi-objective (MO) optimization problems solved by artificial immune algorithm. We present a novel artificial immune algorithm for MO optimization (AIAMOO) and ...

In the context of mass higher education, Chinese application-oriented undergraduate institutions face significant teaching challenges stemming from the increasingly diverse student population. This ...

Interval-valued optimization problems constitute a rapidly evolving field in applied mathematics and engineering, addressing situations where uncertainty and imprecision are inherent in model ...