Optimization Methods for Engineering Design

Fox, Richard L.; Mote, C. D.

doi:10.1115/1.3426572

Cited by 164 publications

(83 citation statements)

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“…Considering the fact that the energy source is fixed on the robot's platform, the dimensions of the legs mechanism's elements are calculated using a multicritical optimization proceeding, which includes several restrictions. The objective function (Fox R. 1973), (Goldberg D. 1999), (Coley D. 1999) may express:…”

Section: Optimization Of Kinematic Dimension Of Displacement Systems mentioning

confidence: 99%

See 1 more Smart Citation

Modular Walking Robots

Ion¹,

Simionescu²,

Curaj³

et al. 2007

Climbing and Walking Robots: Towards New Applications

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Section: Optimization Of Kinematic Dimension Of Displacement Systems mentioning

confidence: 99%

“…the expressions of the directrices of the front and rear cylindrical surfaces, is determined by optimization of some parameters. The objective function (Fox R. 1973), (Goldberg D. 1999), (Coley D. 1999), which is minimized in the optimization process may expressed:…”

Section: Forces Distribution In the Leg Mechanismmentioning

confidence: 99%

Modular Walking Robots

Ion¹,

Simionescu²,

Curaj³

et al. 2007

Climbing and Walking Robots: Towards New Applications

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“…To use DE to solve this original problem we have to transform the problem into an unconstrained optimization problem. We use external penalty function method [20,21] to do this transformation. Basically, this method incurs big penalty while the solution violated any constraints.…”

Section: Flight Time Constraintmentioning

confidence: 99%

Using Differential Evolution Method to Solve Crew Rostering Problem

Santosa¹,

Sunarto²,

Rahman³

2010

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Airline crew rostering is the assignment problem of crew members to planned rotations/pairings for certain month. Airline companies have the monthly task of constructing personalized monthly schedules (roster) for crew members. This problem became more complex and difficult while the aspirations/criterias to assess the quality of roster grew and the constraints increased excessively. This paper proposed the differential evolution (DE) method to solve the airline rostering problem. Different from the common DE, this paper presented random swap as mutation operator. The DE algorithm is proven to be able to find the near optimal solution accurately for the optimization problem. Through numerical experiments with some real datasets, DE showed more competitive results than two other methods, column generation and MOSI (the one used by the Airline). DE produced good results for small and medium datasets, but it still showed reasonable results for large dataset. For large crew rostering problem, we proposed decomposition procedure to solve it in more efficient manner using DE.

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“…• the required plate thicknesses t j , rule , based on the permissible bending stress: t j − t j , rule ≥ 0 (19) where: t j -actual value of plate thickness in j-th region,…”

Section: Multi-objective Optimization Model Of the Ship Hull Structurementioning

confidence: 99%

Multi-objective optimization of high speed vehicle-passenger catamaran by genetic algorithm: Part II Computational simulations

Sekulski

2011

Polish Maritime Research

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Optimization Methods for Engineering Design

Cited by 164 publications

References 0 publications

Modular Walking Robots

Modular Walking Robots

Using Differential Evolution Method to Solve Crew Rostering Problem

Multi-objective optimization of high speed vehicle-passenger catamaran by genetic algorithm: Part II Computational simulations

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