Local Search-based Anytime Algorithms for Continuous Distributed Constraint Optimization Problems
Dear Editor, The distributed constraint optimization problems (DCOPs)[1]–[3] provide an
efficient model for solving the cooperative problems of multiagent systems, which has been …
efficient model for solving the cooperative problems of multiagent systems, which has been …
Hierarchical adaptive collaborative learning: A distributed learning framework for customized cloud services in 6G mobile systems
The Fifth Generation (5G) mobile systems support many kinds of intelligent cloud services.
The upcoming Sixth Generation (6G) mobile systems aim to provide customized cloud …
The upcoming Sixth Generation (6G) mobile systems aim to provide customized cloud …
A novel differential dynamic gradient descent optimization algorithm for resource allocation and offloading in the COMEC system
The multiuser cooperative offloading mobile edge computing (COMEC) system has attracted
much attention because it can realize delay‐sensitive tasks. However, in the coupling …
much attention because it can realize delay‐sensitive tasks. However, in the coupling …
A particle swarm based algorithm for functional distributed constraint optimization problems
Abstract Distributed Constraint Optimization Problems (DCOPs) are a widely studied
constraint handling framework. The objective of a DCOP algorithm is to optimize a global …
constraint handling framework. The objective of a DCOP algorithm is to optimize a global …
[PDF][PDF] A local search based approach to solve continuous DCOPs
Distributed Constraint Optimization Problems (DCOPs) are a powerful framework to model
cooperative multi-agent systems wherein multiple agents communicate directly or indirectly …
cooperative multi-agent systems wherein multiple agents communicate directly or indirectly …
[PDF][PDF] New algorithms for continuous distributed constraint optimization problems
ABSTRACT Distributed Constraint Optimization Problems (DCOPs) are a powerful tool to
model multi-agent coordination problems that are distributed by nature. The formulation is …
model multi-agent coordination problems that are distributed by nature. The formulation is …
[PDF][PDF] Max-Sum with Quadtrees for Decentralized Coordination in Continuous Domains.
In this paper we put forward a novel extension of the classic Max-Sum algorithm to the
framework of Continuous Distributed Constrained Optimization Problems (Continuous …
framework of Continuous Distributed Constrained Optimization Problems (Continuous …
AED: An anytime evolutionary DCOP algorithm
Evolutionary optimization is a generic population-based metaheuristic that can be adapted
to solve a wide variety of optimization problems and has proven very effective for …
to solve a wide variety of optimization problems and has proven very effective for …
Multi-Agent Swarm Optimization With Adaptive Internal and External Learning for Complex Consensus-Based Distributed Optimization
Distributed optimization has attracted lots of attention in recent years. Thanks to the intrinsic
parallelism and great search capacity, evolutionary computation (EC) has the potential for …
parallelism and great search capacity, evolutionary computation (EC) has the potential for …
CrowdSPaFE: a crowd-sourced multimodal recommendation system for urban route safety
Navigation and traffic services such as Google Maps, Bing Maps, and Apple Maps have
become increasingly popular for their ability to calculate the shortest path, provide real-time …
become increasingly popular for their ability to calculate the shortest path, provide real-time …