Encontrados 8 documentos, a visualizar página 1 de 1
Entropy diversity in multi-objective particle swarm optimization
Pires, E. J. Solteiro; Machado, J. A. Tenreiro; Oliveira, P. B. MouraMulti-objective particle swarm optimization (MOPSO) is a search algorithm based on social behavior. Most of the existing multi-objective particle swarm optimization schemes are based on Pareto optimality and aim to obtain a representative non-dominated Pareto front for a given problem. Several approaches have been proposed to study the convergence and performance of the algorithm, particularly by accessing the ...
Single-objective spreading algorithm
Pires, E. J. Solteiro; Mendes, Luís; Lopes, António M.; Oliveira, P. B. Moura; Machado, J. A. TenreiroThis paper addresses the problem of finding several different solutions with the same optimum performance in single objective real-world engineering problems. In this paper a parallel robot design is proposed. Thereby, this paper presents a genetic algorithm to optimize uni-objective problems with an infinite number of optimal solutions. The algorithm uses the maximin concept and ε-dominance to promote diversit...
Optimal location of the workpiece in a PKM-based machining robotic cell
Pires, E. J. Solteiro; Lopes, António M.; Machado, J. A. Tenreiro; Oliveira, P. B. MouraMost machining tasks require high accuracy and are carried out by dedicated machine-tools. On the other hand, traditional robots are flexible and easy to program, but they are rather inaccurate for certain tasks. Parallel kinematic robots could combine the accuracy and flexibility that are usually needed in machining operations. Achieving this goal requires proper design of the parallel robot. In this chapter, ...
Multi-criteria optimization manipulator trajectory planning
Pires, E. J. Solteiro; Oliveira, P. B. Moura; Machado, J. A. TenreiroIn the last twenty years genetic algorithms (GAs) were applied in a plethora of fields such as: control, system identification, robotics, planning and scheduling, image processing, and pattern and speech recognition (Bäck et al., 1997). In robotics the problems of trajectory planning, collision avoidance and manipulator structure design considering a single criteria has been solved using several techniques (Ala...
Particle swarm optimization with fractional-order velocity
Pires, E. J. Solteiro; Machado, J. A. Tenreiro; Oliveira, P. B. Moura; Cunha, J. Boaventura; Mendes, LuísThis paper proposes a novel method for controlling the convergence rate of a particle swarm optimization algorithm using fractional calculus (FC) concepts. The optimization is tested for several well-known functions and the relationship between the fractional order velocity and the convergence of the algorithm is observed. The FC demonstrates a potential for interpreting evolution of the algorithm and to contro...
Automated design of microwave discrete tuning differential capacitance circuits...
Mendes, Luís; Pires, E. J. Solteiro; Vaz, João C.; Rosário, Maria J.; Oliveira, P. B. Moura; Machado, J. A. TenreiroA genetic algorithm used to design radio-frequency binary-weighted differential switched capacitor arrays (RFDSCAs) is presented in this article. The algorithm provides a set of circuits all having the same maximum performance. This article also describes the design, implementation, and measurements results of a 0.25 lm BiCMOS 3-bit RFDSCA. The experimental results show that the circuit presents the expected pe...
Particle swarm optimization: dynamical analysis through fractional calculus
Pires, E. J. Solteiro; Machado, J. A. Tenreiro; Oliveira, P. B. MouraThis chapter considers the particle swarm optimization algorithm as a system, whose dynamics is studied from the point of view of fractional calculus. In this study some initial swarm particles are randomly changed, for the system stimulation, and its response is compared with a non-perturbed reference response. The perturbation effect in the PSO evolution is observed in the perspective of the fitness time beha...
Manipulator trajectory planning using a MOEA
Pires, E. J. Solteiro; Oliveira, P. B. Moura; Machado, J. A. TenreiroGenerating manipulator trajectories considering multiple objectives and obstacle avoidance is a non-trivial optimization problem. In this paper a multi-objective genetic algorithm based technique is proposed to address this problem. Multiple criteria are optimized considering up to five simultaneous objectives. Simulation results are presented for robots with two and three degrees of freedom, considering two an...
| Financiadores do RCAAP | |||||||
|
|
|
|
|
|
||