In this paper, we show how cellular structures can be combined with a multi-objective genetic algorithm (MOGA) for improving its search ability to find Pareto-optimal solutions of multi-objective optimization problems. We propose an assignment method of a different search direction to each cell for implementing a cellular MOGA. In our cellular MOGA, every individual in each population exists in...

background: functional electrical stimulation (fes) is the most commonly used system for restoring functions after spinal cord injury (sci). objective: in this study we investigated feedback pid and feedforward-feedback p-pid controllers for regulating the elbow joint angle. methods: the controllers were tuned based on a nonlinear muculoskeletal model containing two links, one joint with one de...

in this paper, an adaptive neuro fuzzy sliding mode based genetic algorithm (anfsga) controlsystem is proposed for a ph neutralization system. in ph reactors, determination and control of ph isa common problem concerning chemical-based industrial processes due to the non-linearity observedin the titration curve. an anfsga control system is designed to overcome the complexity of precisecontrol o...

This paper gives a concise introduction to Multi-Objective Genetic Algorithms and FPGAs and it reveals that how Automatic Test Pattern Generation method can be formulated in terms of CNF form which in turn used to generate test patterns using Multi-Objective Genetic Algorithm. By applying a Multi-Objective Genetic Algorithm on this CNF form, it has been observed from the experiments that as the...

One of reasons that researchers in recent years have tried to produce ultrafine grained materials is producing lightweight components with high strength and reliability. There are disparate methods for production of ultra-fine grain materials,one of which is severe plastic deformation method. Severe plastic deformation method comprises different processes, one of which is Parallel tubular chann...

controller design and optimization problems, with more than one objective, are referred as multiple objectives or multiple attributed problems. in this paper, a novel method is proposed for designing optimum pid controller that is called genetic multiple attributed decision making method (gmadm). this method is newer than the previous methods and in this paper some options are considered that h...

In this paper, selective harmonic elimination pulse width modulation (SHEPWM) using Real Coded Genetic Algorithm (RGA) and Particle Swarm Optimization technique (PSO) for single phase Matrix converter is developed and discussed. In these techniques, the objective function is optimized for optimum switching angles. The switching frequency is fixed and is equal to output frequency. The objective ...

 In this research, a tri-objective mathematical model is proposed for the Transportation-Location-Routing problem. The model considers a three-echelon supply chain and aims to minimize total costs, maximize the minimum reliability of the traveled routes and establish a well-balanced set of routes. In order to solve the proposed model, four metaheuristic algorithms, including Multi-Objective Gre...

this study proposes a combination of a fuzzy sliding mode controller (fsmc) with integral-proportion-derivative switching surface based superconducting magnetic energy storage (smes) and pid tuned by a multi-objective optimization algorithm to solve the load frequency control in power systems. the goal of design is to improve the dynamic response of power systems after load demand changes. in t...