Based on: "Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection" | Yuan, Pahwa, Chang et al. | arXiv:2510.16499 | NeurIPS 2025 Key Finding: A Composer Agent using ...
Getting good at LeetCode Java can feel like a puzzle sometimes, right? You see all these problems, and you’re not sure where to even start. This guide is here to break down the common approaches and ...
Abstract: In this paper, we propose a hybrid particle swarm optimization-based algorithm for approximately solving the set-union knapsack problem. Knapsack problem arises in several applications such ...
A steady state micro genetic algorithm for hyper-heuristic generation in one-dimensional bin packing
A steady-state \(\mu\)GA-based generative hyper-heuristic approach for producing selection hyper-heuristics that outperform those generated by other evolutionary methods in the literature for the ...
An algorithm is a step-by-step procedure or formula for solving a problem. In the context of computer science, it is a series of instructions that are executed to accomplish a specific task. These ...
The Traveling Salesman Problem (TSP) is one of the most studied combinatorial optimization problems 1. That is driven by its theoretical significance and applicability in various fields such as ...
[Ahuja00] “A greedy genetic algorithm for the quadratic assignment problem”, R. Ahuja, J. Orlin, A. Tiwari, Computers and Operations Research, vol. 27, issue 10 (Sept. 2000), 917--934, ACM (2000) ...
Abstract: The 0-1 knapsack problem is a typical discrete combinatorial optimization problem with numerous applications. In this paper, a binary multi-scale quantum harmonic oscillator algorithm ...
The advancements of mobile devices, public networks and the Internet of creature huge amounts of complex data, both construct & unstructured are being captured in trust to allow organizations to ...
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