Memetic algorithm, as a hybrid strategy, is an intelligent optimization method in problem
solving. These algorithms are similar in nature to genetic algorithms as they follow …

This thesis aims at investigating the level of service at departure area of KKIA. The study
further measures the perceived quality of service and passenger satisfaction in term of …

Abstract Concept of solving games is to find a set of equilibrant strategies in which, players
have no interest to refuse it. In static games, strategies intended by players are unspecified …

Due to the steady increasing trend toward computer simulations, generating random
numbers has attracted many researches and several techniques have been introduced in …

Cancer is a gene disruption based disease in which, body's cells behave abnormally. These
cancerous cells start uncontrolled reproduction and usually offend organisms, and a mass of …

In this study, a new method for optimal control of parameters in particle swarm optimization
based on fuzzy rules, is presented. In proposed method, to prevent premature convergence …

A new class of affine scaling matrices for the interior point Newton-type methods is
considered to solve the nonlinear systems with simple bounds. We review the essential …