Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Swarm intelligence
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Journal of Global Optimization
Vector Mechanics for Engineers: Statics and Dynamics
Vector Mechanics for Engineers: Statics and Dynamics
Evolutionary computation: comments on the history and current state
IEEE Transactions on Evolutionary Computation
Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients
IEEE Transactions on Evolutionary Computation
Optimal approximation of linear systems by a differential evolution algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Optimal manipulator design for a cucumber harvesting robot
Computers and Electronics in Agriculture
Expert Systems with Applications: An International Journal
Revolute manipulator workspace optimization: A comparative study
Applied Soft Computing
A multi-objective workspace optimization of 3r manipulator using modified PSO
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
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The main goal of this paper is the design of manipulators with three-revolute joints (3R) using an optimization problem that takes into account the characteristics of the workspace. The optimization problem is formulated considering the workspace volume as the objective function. Constraints are added to guarantee the regularity of the envelope and force the workspace to occupy a pre-established area. A comparison among different optimization techniques is developed. The techniques employed are sequential quadratic programming (SQP), genetic algorithms (GAs), differential evolution (DE) and particle swarm optimization (PSO). Numerical examples are presented to validate the proposal methodology.