Publications related to Multiple Heterogeneous Ant Colonies with Information Exchange

LPN in Cryptography

The security of public-key cryptography relies on well-studied hard problems, problems for which we do not have efficient algorithms. Factorization and discrete logarithm are the two most known and used hard problems. Unfortunately, they can be easily solv ...

EPFL2017

On Coordinated Primal-Dual Interior-Point Methods for Multi-Agent Optimization

Colin Neil Jones, Altug Bitlislioglu

This paper presents a coordinated primal-dual interior point (PDIP) method for solving structured convex linear and quadratic programs (LP-QP) in a distributed man- ner. The considered class of problems represents a multi-agent setting, where the aggregate ...

2017

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

Michaël Unser, Martin Kurt Storath

We consider

L ^{ 1 }

-TV regularization of univariate signals with values on the real line or on the unit circle. While the real data space leads to a convex optimization problem, the problem is nonconvex for circle-valued data. In this paper, we deriv ...

SIAM2016

Noise-Resistant Particle Swarm Optimization for the Learning of Robust Obstacle Avoidance Controllers using a Depth Camera

Alcherio Martinoli, Inaki Navarro Oiza, Ezequiel Leonardo Di Mario

The Ranger robot was designed to interact with children in order to motivate them to tidy up their room. Its mechanical configuration, together with the limited field of view of its depth camera, make the learning of obstacle avoidance behaviors a hard pro ...

Ieee2016

Uncovering Latent Behaviors in Ant Colonies

Patrick Thiran, Matthias Grossglauser, Laurent Keller, Mohamed Kafsi, Raphaël Braunschweig

Many biological systems exhibit collective behaviors that strengthen their adaptability to their environment, compared to more solitary species. Describing these behaviors is challenging yet necessary in order to understand these biological systems. We pro ...

SIAM2016

Ant Metaheuristic with Adapted Personalities for the Vehicle Routing Problem

Rémy Glardon, Nicolas Zufferey, Jaime Farres

At each generation of an ant algorithm, each ant builds a solution step by step by adding an element to it. Each choice is based on the greedy force (short term profit or heuristic information) and the trail system (central memory which collects informatio ...

Springer Int Publishing Ag2015

Particle Swarm Optimization and Kalman Filtering for Demand Prediction of Commercial Buildings

François Maréchal, Samira Fazlollahi, Araz Ashouri

The integration of weather forecasts and demand prediction into the energy management system of buildings is usually achieved using a model-based predictive control. The performance of such control techniques strongly depends on the accuracy of the thermal ...

2015

K-Adaptability in Two-Stage Robust Binary Programming

Daniel Kuhn, Grani Adiwena Hanasusanto, Wolfram Wiesemann

Over the last two decades, robust optimization has emerged as a computationally attractive approach to formulate and solve single-stage decision problems affected by uncertainty. More recently, robust optimization has been successfully applied to multi-sta ...

Informs2015

Ant Methaheuristics with Adapted Personalities for Vehicle Routing Problem

Rémy Glardon, Nicolas Zufferey, Jaime Farres

At each generation of an ant algorithm, each ant builds a solution step by step by adding an element to it. Each choice is based on the greedy force (short term profit or heuristic information) and the trail system (central memory which collects informatio ...

2015

Distributed Graph-based Convoy Control for Networked Intelligent Vehicles

Alcherio Martinoli, Ali Marjovi, Milos Vasic, Joseph Chadi Benoit Lemaitre

This paper presents an approach for formation control of multi-lane vehicular convoys in highways. We extend a Laplacian graph-based, distributed control law such that networked intelligent vehicles can join or leave the formation dynamically without jeopa ...

IEEE2015

Multiple Heterogeneous Ant Colonies with Information Exchange

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LPN in Cryptography

On Coordinated Primal-Dual Interior-Point Methods for Multi-Agent Optimization

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

Noise-Resistant Particle Swarm Optimization for the Learning of Robust Obstacle Avoidance Controllers using a Depth Camera

Uncovering Latent Behaviors in Ant Colonies

Ant Metaheuristic with Adapted Personalities for the Vehicle Routing Problem

Particle Swarm Optimization and Kalman Filtering for Demand Prediction of Commercial Buildings

K-Adaptability in Two-Stage Robust Binary Programming

Ant Methaheuristics with Adapted Personalities for Vehicle Routing Problem

Distributed Graph-based Convoy Control for Networked Intelligent Vehicles

LPN in Cryptography

On Coordinated Primal-Dual Interior-Point Methods for Multi-Agent Optimization

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

Distributed Graph-based Convoy Control for Networked Intelligent Vehicles

Uncovering Latent Behaviors in Ant Colonies

Ant Methaheuristics with Adapted Personalities for Vehicle Routing Problem

Noise-Resistant Particle Swarm Optimization for the Learning of Robust Obstacle Avoidance Controllers using a Depth Camera

Ant Metaheuristic with Adapted Personalities for the Vehicle Routing Problem

Particle Swarm Optimization and Kalman Filtering for Demand Prediction of Commercial Buildings

K-Adaptability in Two-Stage Robust Binary Programming