A5061782786- Modular Robots and Swarm Intelligence
- Metaheuristic Optimization Algorithms Research
- Distributed Control Multi-Agent Systems
- Evolutionary Algorithms and Applications
- Vehicle Routing Optimization Methods
- Reinforcement Learning in Robotics
- Advanced Multi-Objective Optimization Algorithms
- Robotic Path Planning Algorithms
- Neural Networks and Applications
- Gene Regulatory Network Analysis
- Constraint Satisfaction and Optimization
- Optimization and Search Problems
- Evolutionary Game Theory and Cooperation
- Scheduling and Optimization Algorithms
- Insect and Arachnid Ecology and Behavior
- Optimization and Packing Problems
- Control Systems and Identification
- Data Management and Algorithms
- Advanced Manufacturing and Logistics Optimization
- Advanced Control Systems Optimization
- Simulation Techniques and Applications
- Opinion Dynamics and Social Influence
- Philosophy and History of Science
- Robot Manipulation and Learning
- Scheduling and Timetabling Solutions
Université Libre de Bruxelles
2015-2024
University of Bristol
2022
University of York
2022
University of Toledo
2022
Technical University of Darmstadt
2002-2011
Fund for Scientific Research
2009
Swarm intelligence is a relatively new approach to problem solving that takes inspiration from the social behaviors of insects and other animals. In particular, ants have inspired number methods techniques among which most studied successful general purpose optimization technique known as ant colony optimization. Ant (ACO) foraging behavior some species. These deposit pheromone on ground in order mark favorable path should be followed by members colony. exploits similar mechanism for...
The introduction of ant colony optimization (ACO) and to survey its most notable applications are discussed. Ant takes inspiration from the forging behavior some species. These ants deposit Pheromone on ground in order mark favorable path that should be followed by other members colony. model proposed Deneubourg co-workers for explaining foraging is main source development optimization. In ACO a number artificial build solutions an problem exchange information their quality through...
Modern optimization algorithms typically require the setting of a large number parameters to optimize their performance. The immediate goal automatic algorithm configuration is find, automatically, best parameter settings an optimizer. Ultimately, has potential lead new design paradigms for software. irace package software that implements procedures. In particular, it offers iterated racing procedures, which have been used successfully automatically configure various state-of-the-art...
Swarm robotics systems are characterized by decentralized control, limited communication between robots, use of local information, and emergence global behavior. Such have shown their potential for flexibility robustness [1]-[3]. However, existing swarm large still to displaying simple proof-of-concept behaviors under laboratory conditions. It is our contention that one the factors holding back research almost universal insistence on homogeneous system components. We believe designers must...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> During the last decade, many variants of original particle swarm optimization (PSO) algorithm have been proposed. In cases, difference between two can be seen as an algorithmic component being present in one variant but not other. first part paper, we results and insights obtained from a detailed empirical study several PSO point view. second propose new that combines number components showed...
This paper presents local methods for modelling and control of discrete-time unknown non-linear dynamical systems, when only input-output data are available. We propose the adoption lazy learning, a memory-based technique modelling. The procedure uses query-based approach to select best model configuration by assessing comparing different alternatives. A new recursive identification validation is presented, together with an enhanced statistical method selection. lso, three design controllers...
Automatic design is a promising approach to the of control software for robot swarms. In an automatic method, problem cast into optimization and addressed using algorithm. this article, we review studies in which methods are successfully applied. particular, focus our attention on how empirically assessed. An apparent issue that emerges from solid, well- established, consistently applied empirical practice still missing. For example, propose new ideas do not typically provide any comparison...
Abstract Stigmergy is a form of indirect communication and coordination in which individuals influence their peers by modifying the environment various ways, including rearranging objects space releasing chemicals. For example, some ant species lay pheromone trails to efficiently navigate between food sources nests. Besides being used social animals, stigmergy has also inspired development algorithms for combinatorial optimisation multi-robot systems. In swarm robotics, collective behaviours...