Coupler-curve synthesis via multi-objective optimisation using NSGA-II
نویسندگان
چکیده
This paper presents a study of a classical mechanism synthesis problem in the framework of multi-objective optimisation. In addition to the primary kinematic objective of reducing the structural error, staying away from the singular configurations is considered as a secondary objective. Two wellstudied coupler-curve synthesis problems reported in existing literature are revisited for the purpose of application of the proposed formulations, and the results are obtained using the genetic algorithm-based optimiser, NSGA-II. Detailed analysis of the results show that the Pareto-optimal fronts obtained dominate the existing ones in terms of the secondary objective, while being comparable in the primary one.
منابع مشابه
An Alternative Approach towards Optimisation Design of Coupler Curve based Four-bar Mechanisms
This paper discusses a new methodology for the synthesis of planar four-bar linkages with rotary joints based on a desired coupler curve. This was performed by first deriving a closed-form expression relating the coupler points to the corresponding crank orientations, which in turn evaluated to zero when the desired point is reached exactly at the specified crank angle. The residual values of t...
متن کاملSimultaneous high hydrogen content-synthesis gas production and in-situ CO2 removal via sorption-enhanced reaction process: modeling, sensitivity analysis and multi-objective optimization using NSGA-II algorithm
The main focus of this study is improvement of the steam-methane reforming (SMR) process by in-situ CO2 removal to produce high hydrogen content synthesis gas. Sorption-enhanced (SE) concept is applied to improve process performance. In the proposed structure, the solid phase CO2 adsorbents and pre-reformed gas stream are introduced to a gas-flowing solids-fixed bed reactor (GFSFBR). One dimens...
متن کاملSynthesis of Truss Structure Designs by NSGA-II and NodeSort Algorithm
This paper presents a genetic algorithm based approach for synthesis of truss structure designs. Genotype represented as a collection of binary encoded nodes is decoded into the phenotype by applying the NodeSort algorithm. A genotype extension to consider a cross-section as variable and variable length chromosomes to produce designs to successfully meet the boundary conditions are all being in...
متن کاملEvolutionary Algorithms for Planar MEMS Design Optimisation: A Comparative Study
The evolutionary approach in the design optimisation of MEMS is a novel and promising research area. The problem is of a multi-objective nature; hence, multi-objective evolutionary algorithms (MOEA) are used. The literature shows that two main classes of MOEA have been used in MEMS evolutionary design Optimisation, NSGA-II and MOGA-II. However, no one has provided a justification for using eith...
متن کاملA Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II
Multi-objective evolutionary algorithms which use non-dominated sorting and sharing have been mainly criticized for their (i) O(mN3) computational complexity (where m is the number of objectives and N is the population size), (ii) non-elitism approach, and (iii) the need for specifying a sharing parameter. In this paper, we suggest a non-dominated sorting based multi-objective evolutionary algo...
متن کامل