This paper introduces some advances in Evolutionary Topological Optimum Design, thanks to extensive use of adaptive techniques. On the genotypic side, a variable length representation is used: the complexity of the representation of each individual is evolved by the algorithm rather than being prescribed by some fixed mesh of the design domain, resulting in self-adaptive complexity. On the phen...

This paper describes a method to schedule shifts in the most optimum way desire for today’s cost sensitive industries. The main problem for this domain is to make sure all shifts are assigned to cover all or maximum jobs available. The shifts also need to be schedule with the least manpower possible, avoid manpower idling during the shift and take into consideration employee’s time adaptability...

The purpose of the paper is to discuss the applicability of stochastic programming models and methods to civil engineering design problems. In cooperation with experts in civil engineering, the problem concerning an optimal design of beam dimensions has been chosen. The corresponding mathematical model involves an ODE-type constraint, uncertain parameter related to the material characteristics ...

The evaluation of operations number for the system design has been done for general design strategy. More general methodology for the system and circuit design was elaborated by means of optimum control theory formulation. This approach generalizes the design process and generates infinite number of the different design strategies. The main equations for this general design methodology were ela...

Many designers think of control system feedback loop compensation only in terms of stable or unstable. In reality, there is an optimum error amplifier transfer function for any given loop crossover frequency and phase margin. The optimum design is shown to be the one with the highest gain below crossover and the lowest gain above crossover. There is a unique pole-zero placement to achieve optim...

Structural topology optimization is addressed through Genetic Algorithms: A set of designs is evolved following the Darwinian survival-of-ttest principle. The goal is to optimize the weight of the structure under displacement constraints. This approach demonstrates high exibility, and breaks many limits of standard optimization algorithms, in spite of the heavy requirements in term of computati...

We consider the situation where one has to maximise a function (; x) with respect to x 2 IR q , when is unknown and estimated by least squares through observations y k = f > (x k) + k , with k some random error. Classical applications are regulation and extremum control problems. The approach we adopt corresponds to maximizing the sum of the current estimated objective and a penalisation for po...

A series of synchronous reluctance motors (RSM) are analysed using finite element methods. The amount of iron in each rotor is kept the same. It is shown that the saliency ratio is not only dependent on the flux guide reluctance factor but also on the position or span of flux guides. It is also shown that an axially laminated design may not be an optimum configuration due to large number of flu...

Scopul sintezei cinematice a mecanismelor este determinarea dimensiunilor elementelor componente, în condiţiile impuse prin mişcările unor puncte sau elemente. Rezolvarea unei astfel de probleme se reduce la rezolvarea unui sistem de ecuaţii neliniare. Ca urnare, problemele de sinteză cinematică nu au soluţii unice. Pentru oprimizarea dimensiunilor unui mecanism de prehensiune, funcţia obiectiv...

Out of total electrical motors 80% are three-phase squirrel-cage induction motors which are widely used in industrial and domestic applications because of the relatively low cost and high reliability. When oversized, most of these motors operate in low efficiency and poor power factor. Adjustable flux motors with multiple winding connections can be an energy efficient solution in variable and f...