A Comparison of Evolutionary Algorithms for Mechanical Design Components

Giraud-Moreau, Laurence; Lafon, Pascal

doi:10.1080/03052150211750

Cited by 42 publications

(14 citation statements)

References 8 publications

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“…Finally, for mixed variable problems, several strategies can be applied. Mathematical programming and stochastic algorithms can also be combined [19] or Metamodeling used [20].…”

Section: Methodology For the Assistance Toolmentioning

confidence: 99%

Methodology to build an assistance tool dedicated to preliminary design: application to compression springs

Paredes¹

2009

Int J Interact Des Manuf

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This paper proposes a method to develop a design assistance tool dedicated to preliminary design. This tool increases interactivity and enables the design space to be explored. The user-friendly interface proposes to define design parameters with interval values. In addition, an objective has to be selected and the tool offers an optimum design. To take full advantage of all the exploration's capabilities, it is suggested that all the potential optimization functions be considered as design parameters and that each design parameter be considered as a potential objective function. This method was applied to build a software mock-up dedicated to compression spring design. The industrialization process leading to the commercial software is detailed.

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“…Finally, for mixed variable problems, several strategies can be applied. Mathematical programming and stochastic algorithms can also be combined [19] or Metamodeling used [20].…”

Section: Methodology For the Assistance Toolmentioning

confidence: 99%

Methodology to build an assistance tool dedicated to preliminary design: application to compression springs

Paredes¹

2009

Int J Interact Des Manuf

View full text Add to dashboard Cite

show abstract

“…Owing to the possible existence of a number of local optima in this solar desiccant cooling problem, the classical and traditional numerical methods are not feasible to tackle it. The stochastic and population-search nature of EA would enhance the optimization and prevent from being trapped at local optimum, and it has been found effective for this kind of engineering problems [20][21][22].…”

Section: Robust Evolutionary Algorithmmentioning

confidence: 99%

Simulation–optimization of solar-assisted desiccant cooling system for subtropical Hong Kong

Fong

Chow

Lin

et al. 2010

Applied Thermal Engineering

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“…Metaheuristic algorithms have been applied to various fields and solved the real-time problems. A comparative study has been carried out among evolutionary algorithms, tabu search, and simulated annealing [27], and evolutionary strategy and genetic algorithm are compared to solve the mechanical design problem with different types of constraints [28]. El-Qulity and Mohamed [29] solved a higher education admission problem using a nonlinear goal programming model with integer decision variables using a modified differential evolution algorithm.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimum Scheduling the Electric Distribution Substations with a Case Study: An Integer Gaining-Sharing Knowledge-Based Metaheuristic Algorithm

et al. 2020

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This work is dedicated to the economic scheduling of the required electric stations in the upcoming 10-year long-term plan. The calculation of the required electric stations is carried out by estimating the yearly consumption of electricity over a long-time plan and then determining the required number of stations. The aim is to minimize the total establishing and operating costs of the stations based on a mathematical programming model with nonlinear objective function and integer decision variables. The introduced model is applied for a real practical case study to conclude the number of yearly constructed stations over a long-term plan in the electricity sector in Jeddah City, Saudi Arabia. The current planning method is based only on intuition by constructing the same number of required stations in each year without searching for better solutions. To solve the introduced mathematical model, a novel recent gaining sharing knowledge-based algorithm, named GSK, has been used. The Augmented Lagrangian Method (ALM) is applied to transform the constrained formulation to become unconstrained with penalization to the objective function. According to the obtained results of the real case study, the proposed GSK with ALM approved an ability to solve this case with respect to convergence, efficiency, quality, and robustness.

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A Comparison of Evolutionary Algorithms for Mechanical Design Components

Cited by 42 publications

References 8 publications

Methodology to build an assistance tool dedicated to preliminary design: application to compression springs

Methodology to build an assistance tool dedicated to preliminary design: application to compression springs

Simulation–optimization of solar-assisted desiccant cooling system for subtropical Hong Kong

Optimum Scheduling the Electric Distribution Substations with a Case Study: An Integer Gaining-Sharing Knowledge-Based Metaheuristic Algorithm

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