Revising hull and box consistency
Proceedings of the 1999 international conference on Logic programming
Optimal weight design of rotor systems with oil-film bearing subjected to frequency constraints
Finite Elements in Analysis and Design
A New Inclusion Function for Optimization: Kite&mdashlThe One Dimensional Case
Journal of Global Optimization
An effective co-evolutionary particle swarm optimization for constrained engineering design problems
Engineering Applications of Artificial Intelligence
A hybrid genetic algorithm for the multi-depot vehicle routing problem
Engineering Applications of Artificial Intelligence
Aiding design with constraints: an extension of quad trees in order to deal with piecewise functions
International Journal of Computer Integrated Manufacturing - Industrial Engineering and Systems Management
Engineering Applications of Artificial Intelligence
Hull consistency under monotonicity
CP'09 Proceedings of the 15th international conference on Principles and practice of constraint programming
Resolution of nonlinear interval problems using symbolic interval arithmetic
Engineering Applications of Artificial Intelligence
Set based robust design of mechanical systems using the quantifier constraint satisfaction algorithm
Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence
Particle swarm optimization for solving engineering problems: A new constraint-handling mechanism
Engineering Applications of Artificial Intelligence
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This paper deals with the preliminary design problem when the product is modeled as an analytic model. The analytic models based method aims to use mathematical equations to address both multi-physic and economic characteristics of a product. The proposed approach is to convert the preliminary design problem into a global constrained optimization problem. The objective is to develop powerful optimization methods enough to handle complex analytical models. We propose to adapt an approach to solve this problem based on interval analysis, constraint propagation and model reformulation. In order to understand the optimization algorithm used for engineering design problems, some basic definitions and properties of interval analysis are introduced. Then, the basic optimization algorithms for both unconstrained and constrained problems are introduced and illustrated. The next section introduces the reformulation technique as main accelerating device. An application of the reformulation device and its global optimization algorithm on the optimal design of electrical actuators is presented.