This paper presents binary differential evolution based optimal reporting cell planning (RCP) for location management in wireless cellular networks. The significance of mobile location management (MLM) in wireless communication has evolved drastically due to tremendous rise in the number of mobile users with the constraint of limited bandwidth. The total location management cost involves signal...

Many engineering design problems can be formulated as optimization problems with constraints. In this paper we have proposed two modified variants of differential evolution (DE) for solving constrained engineering design problems. Paretoranking method is used to handle constrained with proposed approaches. The proposed variants named EDE-1 and EDE-2 are tested on 4 engineering design optimizati...

The application of Evolutionary algorithms (EAs) for multi-objective problems (MOPs) has been receiving a growing interest since 1980s. Among the large amount of literature in this area, differential evolution (DE) for MOPs is widely investigated and has shown several advantages over other EAs. However, due to the inherent characteristics of MOPs, plain DE cannot be directly applied for MOPs bu...

Direct solution methods for optimal control problems treat them from the perspective of global optimization: perform a global search for the control function that optimizes the required objective. Increasingly, Differential Evolution is being recognized as a powerful global optimizer for optimal control. A parameterization technique is required, which can represent control functions using a sma...

Direct reductions of partial differential equations to systems of ordinary differential equations are in one-to-one correspondence with compatible differential constraints. The differential constraint method is applied to prove that a parabolic evolution equation admits infinitely many characteristic second order reductions, but admits a noncharacteristic second order reduction if and only if i...

A constraint-activated differential evolution is proposed to solve constrained min–max optimization problems in this paper. To provide theoretical understanding for these problems, their global optima are specified in the proposed definitions. Based on the definition, we propose theorems to prove that a min–max algorithm can be used to solve a max–min problem without any algorithmic changes. Ba...

This paper presents a scheme using Differential Evolution based Functional Link Artificial Neural Network (FLANN) to predict the Indian Stock Market Indices. The Model uses Back-Propagation (BP) algorithm and Differential Evolution (DE) algorithm respectively for predicting the Stock Price Indices for one day, one week, two weeks and one month in advance. The Indian stock prices i.e. BSE (Bomba...

substantiation of the averaging method for differential equations with maxima is presented. two theorems on substantiates for differential equations with maxima are established.

The covariant Boltzmann equation for a relativistic gas mixture is used to formulate a theory of relativistic irreversible thermodynamics. The modified moment method is applied to derive various evolution equations for macroscopic variables from the covariant Boltzmann equation. The method rigorously yields the entropy differential which is not an exact differential if

The Clonal Selection Algorithm (CSA) is a widely used Artificial Immune Optimization (AIO) approach that tends to mimic the immune response when the pathogenic pattern is detected by the immune cells. However, this method, in its standard form, shows slow convergence and frequently traps in one of the local optima, especially for high dimensional problems. Hence, in this paper, an improved CSA ...