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Interior Point Decomposition for Multi-Agent Optimization

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Modifier-Adaptation Methodology for Real-Time Optimization

Dominique Bonvin, Alejandro Gabriel Marchetti

The ability of a model-based real-time optimization scheme to converge to the plant optimum relies on the ability of the underlying process model to predict the plant's necessary conditions of optimality (NCO). These include the values and gradients of the ...

2009

This is a comment on a recent paper by A. Hagberg and D. A. Schult [Chaos 18, 037105 (2008)]. By taking the eigenratio of the Laplacian of an undirected and unweighted network as its synchronizability measure, they proposed a greedy rewiring algorithm for ...

2009

Combinatorial optimization problems in the real world are ubiquitous. Practical applications include planning, scheduling, distributed control, resource allocation, etc. These problems often involve multiple agents and can be formulated as a Multi-agent Co ...

EPFL2008

A novel optimization approach for minimum cost design of trusses

Abhinav Gupta

This paper describes new optimization strategies that offer significant improvements in performance over existing methods for bridge-truss design. In this study, a real-world cost function that consists of costs on the weight of the truss and the number of ...

2007

In this paper we address the problem of driving a group of agents towards a consensus point when agents have a discrete-time integrator dynamics and the communication graph is time-varying. We propose two decentralized Model Predictive Control (MPC) scheme ...

2007

A Model Predictive Control Scheme for Consensus in multi-agent Systems with Single-Integrator Dynamics and Input Constraints

Giancarlo Ferrari Trecate

In this paper we address the problem of driving a group of agents towards a consensus point when agents have a discrete-time single-integrator dynamics and the communication graph is undirected and time-varying. We propose a decentralized Model Predictive ...

2007

Control schemes based on the wave equation for consensus in multi-agent systems with double-integrator dynamics

Giancarlo Ferrari Trecate

In this paper, we consider the problem of driving a group of agents communicating through an undirected and weighted network towards a consensus point. We assume that agents obey to double-integrator dynamics and study decentralized control schemes for con ...

2007

A class of algorithms for distributed constraint optimization

Adrian Petcu

Multi Agent Systems (MAS) have recently attracted a lot of interest because of their ability to model many real life scenarios where information and control are distributed among a set of different agents. Practical applications include planning, schedulin ...

EPFL2007

Discrete Multi-Valued Particle Swarm Optimization

Alcherio Martinoli, James Pugh

Discrete optimization is a difficult task common to many different areas in modern research. This type of optimization refers to problems where solution elements can assume one of several discrete values. The most basic form of discrete optimization is bin ...

2006

In an industry project with a German car manufacturer we are faced with the challenge of placing a maximum number of uniform rigid rectangular boxes in the interior of a car trunk. The problem is of practical importance due to a European industry norm whic ...

2005