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Benchmark of swarm robotics distributed techniques in a search task
Couceiro, Micael S.; Vargas, Patricia A.; Rocha, Rui P.; Ferreira, Nuno M. F.This paper presents a survey on multi-robot search inspired by swarm intelligence by further classifying and discussing the theoretical advantages and disadvantages of the existing studies. Subsequently, the most attractive techniques are evaluated and compared by highlighting their most relevant features. This is motivated by the gradual growth of swarm robotics solutions in situations where conventional searc...
A fuzzified systematic adjustment of the robotic Darwinian PSO
Couceiro, Micael S.; Machado, J. A. Tenreiro; Rocha, Rui P.; Ferreira, Nuno M. F.The Darwinian Particle Swarm Optimization (DPSO) is an evolutionary algorithm that extends the Particle Swarm Optimization using natural selection to enhance the ability to escape from sub-optimal solutions. An extension of the DPSO to multi-robot applications has been recently proposed and denoted as Robotic Darwinian PSO (RDPSO), benefiting from the dynamical partitioning of the whole population of robots, he...
Introducing the fractional-order Darwinian PSO
Couceiro, Micael S.; Rocha, Rui P.; Ferreira, Nuno M. F.; Machado, J. A. TenreiroOne of the most well-known bio-inspired algorithms used in optimization problems is the particle swarm optimization (PSO), which basically consists on a machinelearning technique loosely inspired by birds flocking in search of food. More specifically, it consists of a number of particles that collectively move on the search space in search of the global optimum. The Darwinian particle swarm optimization (DPSO) ...
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