Robust design intends to optimize both the expected value and the deviation of the performance function and can be obtained by minimizing performance variab ility. Fuzzy multiobjective optimizat ion describes the performance criteria, called goals, and the constraints in terms of fuzzy membership functions. The membership function of the optimum value the decision – is obtained as conjunction o...

The optimizat ion of traffic flow on roads and highways of modern industrialized countries is key to their economic growth and success. Besides, the reduction of traffic congestions and jams is also desirable from an ecological point of view as it yields a contribution to climate protection. In this art icle, we stick to a microscopic traffic simulation model and interpret the task of traffic f...

In this paper Legendre integral method is proposed to solve optimal control problems governed by higher order ordinary differential equations. Legendre approximat ion method reduced the problem to a constrained optimizat ion problem. Penalty partial quadratic interpolation method is presented to solve the resulting constrained optimization problem. Error estimates for the Legendre approximation...

This Paper deals with the tuning of PID controller using conventional methods and computational technique like Part icle Swarm Optimizat ion. The main objective is to prove that the response obtained is more stable, robust and efficient when PID is tuned using PSO. The obtained value is compared with conventional methods like Ziegler Nicholas, Cohen-coon and Internal Model Control. The cr iteri...

This paper presents an Election Campaign Optimizat ion (ECO) algorithm for the solution of Generation Expansion Planning (GEP) problem in a competitive electricity market. GEP is one of the important decision-making activities in electric utilit ies and plays a fundamental ro le in the deregulated environment for electricity trading. It is highly constrained non-linear dynamic optimization prob...

This paper proposes a novel system to classify three types of electrocardiogram beats, namely normal beats and two manifestations of heart arrhythmia. This system includes three main modules: a feature extract ion module, a classifier module, and an optimization module. In the feature ext raction module, a proper set combining the shape features and timing features is proposed as the efficient ...

Combinatorial optimizat ion is the most panoptic area in current research paper. The p-median problem which is a combinatorial optimization problem is NP-Hard in nature that realizes facilitators which serves the maximum locations. The p-median problem will be pract ical in several applicat ions areas such as escalating marketing strategies in the sphere of Management Sciences and in locating s...

This pap er presents a static analysis of deception in multimodal funct ions. Deception in a bipolar function of unitation (a function with two global optima and a number of decepti ve attractors) is defined, and a set of suffic ient conditions relat ing function values is obtained. A bipolar decept ive function is also constructed from low-order Walsh coeffic ients. Multimodal functions of bou...

A new evolut ionary method for the global optimizat ion of fun ctions wit h cont inuous vari ab les is proposed . This algorit hm can be viewed as an efficient par allelization of the simula ted annealing technique , although a suitable interval coding shows a close ana logy between real-coded genet ic algorit hms and the pr oposed meth od , called int erval genetic algorithm . Some well-define...