This paper demonstrates a recapitulated historic evolution further to a future overview of all
vehicular ad-hoc network (VANET) routing problems that concern either directly related …

The paper introduces the task of parameter extraction of photovoltaic (PV) modules as a
nonlinear optimization problem. The concerned parameters are the series resistance, shunt …

This paper presents a new adaptive Cuckoo search (ACS) algorithm based on the Cuckoo
search (CS) for optimization. The main thrust is to decide the step size adaptively from its …

In this work, a multilevel thresholding approach that uses modified bacterial foraging
optimization (MBFO) is presented for enhancing the applicability and practicality of optimal …

Measurement and analysis of Partial Discharge (PD) patterns have appeared as an
emerging field in assessing insulation failure in High Voltage apparatus. This paper uses a …

Recently, there has been an increasing interest on the application of the evolutionary
algorithms in order to solve the drawbacks of traditional filter design methods. Unlike …

Optimization techniques based on Swarm-intelligence has been reported to have significant
benefits towards addressing communication issues in Wireless Sensor Network (WSN). We …

In this paper, a metaheuristic solution algorithm for solving the multi-mode resource-
constrained project scheduling problem (MRCPSP) with discounted cash flows …

Abstract Regularized-LDA (R-LDA) is one of the most successful holistic approaches that is
introduced to overcome the “small sample size”(SSS) problem of the LDA method, which is …

This paper first proposes a simple scheme for adapting the chemotactic step size of the
Bacterial Foraging Optimization Algorithm (BFOA), and then this new adaptation and two …