... buckling) are taken into account. The developed finite-element based model of the wheel is used to train a set of neural networks to approximate the objective functions and the design constraints to reduce the computational effort. A multi-objective genetic algorithm is adopted to obtain the Pareto-optimal...

.... The proposed approach exploits a Genetic Algorithm (GA) in combination with Artificial Neural Networks (ANNs) for SOC estimation. Specifically, the training parameters of a Nonlinear Auto-Regressive with Exogenous inputs (NARX) ANN are chosen by the GA-based optimization. As a consequence of the GA-based...

... for the selection of the optimal equivalence factors, for charging and discharging, by applying genetic algorithm in the case of a P0 mild hybrid electric vehicle. This method is a systematic and deterministic way to guarantee an optimal solution with respect to the trial and error method. The proposed ECMS...

... of the genetic algorithm, and greatly reduced computational effects achieved from the direct structure-performance mapping. The former optimization is carefully designed based on our recent theoretical insights, while the latter simulation is derived via a novel convolutional neural network based simulation...

... formulation method is necessary to improve the efficiency of the preliminary design. In this study, we performed genetic algorithm-based clustering to determine the subtypes of a specific type of merchant ship and formulated the standard specification for each subtype. To demonstrate the effectiveness...

... vocabularies and are stated as constraints on the quantity, type, and topology of flows connected to the functions. The rules serve as an objective and unambiguous basis of evaluating the fitness of function models developed by a genetic algorithm. The said algorithm and the rules are implemented in software...

..., and nonlinear structural deformation evaluation. This article adapts a compliant topology of a homogeneous beam configuration that exhibits zero stiffness behavior over a pre-established effective region. The optimization by genetic algorithm generates discrete shaping parameters for formation of an optimal...

... reconfigures the manipulator to this optimal configuration, the controller and trajectory planner automatically adapt themselves to the new configuration so that the manipulator is ready for immediate deployment. task-based design modular manipulator genetic algorithm distributed agents robot design...

.... In this paper, a new fuzzy neural network (FNN) and an adaptive learning mechanism based on genetic algorithm has been proposed for modeling the fuzzy reasoning process and constructing an efficient adaptive fuzzy control systems. Experiment results show that the FNN is capable of modeling complex functions...

... for product distribution considering relevant constraints is identi ed using two optimization approaches: state space search and genetic algorithm. State space search is employed when search space is not large. Genetic algorithm, on the other hand, provides a robust mechanism for identifying the global...

... University, Katahira 2-1-1, Aoba-Ku, Sendai, Japan KEYWORDS: Flexible Robot Arm, Simultaneous Optimization, Genetic Algorithm ABSTRACT Integrated structure/control design of a one-link flexible robot aim is investigated in this paper. The aim consists of a tip mass, a flexible link and a hub and is driven...

... restricts their wide application in practice. This paper establishes a balancing process frame with both unbalance and bearing parameters as inputs and the vibration responses on bearings as outputs. The authors determine the rotor unbalance as an inverse engineering problem using genetic algorithms (GA...

... Abstract Genetic algorithms show particular promise for automated assembly planning. As a result, several recent research reports present genetic-algorithm-based mechanical-product assembly planners. However, genetic-algorithm-based assembly planners require an initial assembly-sequence...

... Classification Genetic Algorithm State-space Search Optimization Proceedings of DETC'01 ASME 2001 Design Engineering Technical Conference and Computers and Information in Engineering Conference Pittsburgh, PA, September 9-12, 2001 DETC2001/CIE-21672 AN INTELLIGENT ZONE-BASED DELIVERY SCHEDULING APPROACH H...

... rules. An updated evolutionary framework that incorporates these rules is also presented. function model genetic algorithm automation EVOLUTIONARY APPROACH TO FUNCTION MODEL SYNTHESIS: DEVELOPMENT OF PARAMETERIZATION AND SYNTHESIS RULES Amaninder Singh Gill Graduate Research Assistant Florida...

... state error. Employing metaheuristic optimization techniques is possible to find optimal solutions for the PID tuning multiobjective optimization problem with less computational cost. This paper presents the using of genetic algorithms as metaheuristic optimization technique for the tuning of a PID...

... result, a knowledge aware heuristic element is included in the GA process. The efficiency and effectiveness of the algorithm is verified with four case studies. Modular Product Architecture DSM Clustering Minimum Description Length Genetic Algorithm 1 Copyright © 2013 by ASME FAST HYBRID...

... The paper describes a prototype design system based on genetic algorithm to evolve concept designs, which are coded in an action grammar. The action grammar captures the design intents expressed by the designers’ strokes during sketching process. The model is based on the assumption...

... This paper concerns optimal placement of discrete piezoelectric sensors and actuators for active vibration control, using a genetic algorithm based on minimization of linear quadratic index as an objective function. A new method is developed to get state space matrices for simple and complex...

... is obtained by means of a genetic algorithm using minimization of linear quadratic index is taken as an objective function. The program is written in Matlab m-code and incorporates results from an ANSYS finite element model of the basic structure to take the effects of the first six modes of vibration...