2016 - Evolutionary Computation Pioneer Award, IEEE Computational Intelligence Society
2015 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For seminal contributions to the foundations of swarm intelligence, including ant colony optimization and swarm robotics
2015 - IEEE Frank Rosenblatt Award
2010 - Member of Academia Europaea
2006 - IEEE Fellow For contributions to ant colony optimization and swarm intelligence.
The scientist’s investigation covers issues in Artificial intelligence, Ant colony optimization algorithms, Metaheuristic, Mathematical optimization and Swarm intelligence. His study in Robot, Swarm robotics, Robotics, Mobile robot and Ant robotics is done as part of Artificial intelligence. The various areas that Marco Dorigo examines in his Ant colony optimization algorithms study include Artificial life, Travelling salesman problem and Extremal optimization.
His Metaheuristic research is multidisciplinary, relying on both Optimization problem, Combinatorial optimization and Artificial Ants. His work on Local search, Tabu search, Simulated annealing and Meta-optimization as part of his general Mathematical optimization study is frequently connected to Simple, thereby bridging the divide between different branches of science. Marco Dorigo has researched Swarm intelligence in several fields, including Evolutionary algorithm, Path and Continuous optimization.
Marco Dorigo spends much of his time researching Artificial intelligence, Robot, Swarm robotics, Particle physics and Swarm behaviour. His Artificial intelligence study combines topics from a wide range of disciplines, such as Swarm intelligence and Machine learning. His studies in Robot integrate themes in fields like Distributed computing, Evolutionary algorithm, Task and Human–computer interaction.
His research in Swarm robotics intersects with topics in Evolutionary robotics and Simulation. His Ant colony optimization algorithms research is multidisciplinary, incorporating elements of Parallel metaheuristic, Local search, Combinatorial optimization and Travelling salesman problem. His work in Ant colony tackles topics such as Metaheuristic which are related to areas like Optimization problem and Tabu search.
His primary areas of study are Particle physics, Nuclear physics, Branching fraction, Robot and Meson. His CP violation, Large Hadron Collider, Luminosity and Muon study in the realm of Particle physics connects with subjects such as Luminosity. Marco Dorigo interconnects Dalitz plot, Standard Model, Cabibbo–Kobayashi–Maskawa matrix and Asymmetry in the investigation of issues within CP violation.
His Robot study which covers Swarm behaviour that intersects with State. His Swarm robotics study is focused on Artificial intelligence in general. His study ties his expertise on Swarm intelligence together with the subject of Artificial intelligence.
Marco Dorigo mostly deals with Particle physics, Nuclear physics, Luminosity, Branching fraction and Large Hadron Collider. His Particle physics study frequently intersects with other fields, such as State. His Branching fraction research includes themes of Nuclear magnetic resonance, Invariant mass and Lepton.
His Large Hadron Collider study combines topics in areas such as Range, Detector and Higgs boson. In Hadron, he works on issues like Monte Carlo method, which are connected to Swarm robotics. The concepts of his Swarm robotics study are interwoven with issues in Design pattern, Software design pattern and Management science.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Ant system: optimization by a colony of cooperating agents
M. Dorigo;V. Maniezzo;A. Colorni.
systems man and cybernetics (1996)
Ant Colony Optimization
M. Dorigo;M. Birattari;T. Stutzle.
Ant colony optimization: artificial ants as a computational intelligence technique
Marco Dorigo;Mauro Birattari;Thomas Stützle.
IEEE Computational Intelligence Magazine (2006)
Ant Colony Optimization.
Marco Dorigo;Mauro Birattari.
Encyclopedia of Machine Learning (2010)
Ant colony system: a cooperative learning approach to the traveling salesman problem
M. Dorigo;L.M. Gambardella.
IEEE Transactions on Evolutionary Computation (1997)
Swarm intelligence: from natural to artificial systems
Eric Bonabeau;Marco Dorigo;Guy Theraulaz.
Optimization, Learning and Natural Algorithms
Ph.D. Thesis, Politecnico di Milano, Italy (1992)
Distributed Optimization by Ant Colonies
Alberto Colorni;Marco Dorigo;Vittorio Maniezzo;Francisco Varela.
european conference on artificial life (1992)
Ant algorithms for discrete optimization
Marco Dorigo;Gianni Di Caro;Luca M. Gambardella.
Artificial Life (1999)
Ant colony optimization: a new meta-heuristic
M. Dorigo;G. Di Caro.
congress on evolutionary computation (1999)
(Impact Factor: 3.727)
Profile was last updated on December 6th, 2021.
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