专题:Optimization and Search Problems

This cluster of papers focuses on the development and analysis of online algorithms for distributed coordination of mobile robots, with applications in areas such as ad auctions, resource allocation, stochastic matching, and rendezvous search. The research explores techniques for competitive analysis, learning automata, and buffer management in the context of online robotics.
最新文献
近5年高被引文献
Flexible Job-Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning

article Full Text OpenAlex 477 FWCI39.3486

Review of Autonomous Path Planning Algorithms for Mobile Robots

article Full Text OpenAlex 312 FWCI29.3293

Introduction to Multi-agent Systems

book-chapter Full Text OpenAlex 288 FWCI7.2371

A survey of job shop scheduling problem: The types and models

article Full Text OpenAlex 272 FWCI24.6849

25 Years of Particle Swarm Optimization: Flourishing Voyage of Two Decades

article Full Text OpenAlex 238 FWCI23.8859

Pareto Optimal Reconfiguration Planning and Distributed Parallel Motion Control of Mobile Modular Robots

article Full Text OpenAlex 236 FWCI6.0137

Review and empirical analysis of sparrow search algorithm

article Full Text OpenAlex 220 FWCI28.0992

On-line Policy Improvement using Monte-Carlo Search

preprint Full Text OpenAlex 213 FWCI0

Knapsack problems — An overview of recent advances. Part II: Multiple, multidimensional, and quadratic knapsack problems

article Full Text OpenAlex 190 FWCI19.0109

Optimization techniques for Multi-Robot Task Allocation problems: Review on the state-of-the-art

article Full Text OpenAlex 190 FWCI24.3006