global optimization methods play an important role to solve many real-world problems. flower pollination algorithm (fp) is a new nature-inspired algorithm, based on the characteristics of flowering plants. in this paper, a new hybrid optimization method called hybrid flower pollination algorithm (fppso) is proposed. the method combines the standard flower pollination algorithm (fp) with the par...

a new structure learning approach for bayesian networks (bns) based on asexual reproduction optimization (aro) is proposed in this letter. aro can be essentially considered as an evolutionary based algorithm that mathematically models the budding mechanism of asexual reproduction. in aro, a parent produces a bud through a reproduction operator; thereafter the parent and its bud compete to survi...

this study proposes a modified version of cultural algorithms (cas) which benefits from rule-based system for influence function. this rule-based system selects and applies the suitable knowledge source according to the distribution of the solutions. this is important to use appropriate influence function to apply to a specific individual, regarding to its role in the search process. this rule ...

Wireless Sensor Networks (WSNs) have a wonderful potential to interconnect with the physical world and collect data. Data estimation, long lifespan, deployment, routing, task scheduling, safety, localization are primary performance difficulties for WSNs. WSNs made up of sensor nodes set minimal battery power monitor reveal occurrences in field. Detecting location is difficult task, but it cruci...

This paper presents initial efforts in the implementation of innovative methods in teaching engineering, in particular using the Problem Based Learning (PBL) approach. This paper elaborates the current practice of the PBL teaching method within the Department of Electrical Engineering, University of Malaya. Pertaining issues include the integration of the PBL method into the overall teaching me...

in this study, we considered some competitive learning methods which include hard competitive learning (hcl) and soft competitive learning (scl) with/ without fixed network dimensionality for reliability analysis in microarrays. in order to have a more extensive view, and keeping in mind that competitive learning methods aim at error minimization or entropy maximization (different kinds of func...

The paper describes an optimal design of poly-phase filter for up-sampling of audio signals. The design of filter is based on Teaching-Learning-Based Optimization (TLBO) algorithm. To obtain a digital filter that maintains the sequence of original signal points and at the same time increase the sampling rate with no change in shape of its spectrum, TLBO algorithm is applied and results are illu...