Averaging approach to distributed convex optimization for continuous-time multi-agent systems

Averaging approach to distributed convex optimization for continuous-time multi-agent systems

Distributed Optimization in Multi-Agent Systems: Game Theory Based Sensor Coverage and Continuous-Time Convex Optimization

OF THE DISSERTATION Distributed Optimization in Multi-Agent Systems: Game Theory Based Sensor Coverage and continuous-time Convex Optimization by Salar Rahili Doctor of Philosophy, Graduate Program in Electrical Engineering University of California, Riverside, December 2016 Dr. Wei Ren, Chairperson A multi-agent system is defined as a collection of autonomous agents which are able to interact w...

Optimization of majority protocol for controlling transactions concurrency in distributed databases by multi-agent systems

In this paper, we propose a new concurrency control algorithm based on multi-agent systems which is an extension of majority protocol. Then, we suggest a clustering approach to get better results in reliability, decreasing message passing and algorithm’s runtime. Here, we consider n different transactions working on non-conflict data items. Considering execution efficiency of some different...

A Continuous-Time Multi-Agent Systems Based Algorithm for Constrained Distributed Optimization

This paper considers a second-order multi-agent system for solving the non-smooth convex optimization problem, where the global objective function is a sum of local convex objective functions within different bound constraints over undirected graphs. A novel distributed continuous-time optimization algorithm is designed, where each agent only has an access to its own objective function and boun...

Distributed line search for multi-agent convex optimization

This note considers multi-agent systems seeking to optimize a convex aggregate function. We assume that the gradient of this function is distributed, meaning that each agent can compute its corresponding partial derivative with information about its neighbors and itself only. In such scenarios, the discrete-time implementation of the gradient descent method poses the basic challenge of determin...