We propose a novel variation to biogeography-based optimization (BBO), which is an
evolutionary algorithm (EA) developed for global optimization. The new algorithm employs …

In this paper, we propose a framework for employing opposition-based learning to assist
evolutionary algorithms in solving discrete and combinatorial optimization problems. To our …

A novel, nature inspired, unsupervised classification method, based on the most recent
metaheuristic algorithm, stirred by the breeding strategy of the parasitic bird, the cuckoo, is …

Remote sensing image classification in recent years has been a proliferating area of global
research for obtaining geo-spatial information from satellite data. In Biogeography Based …

In recent years, data mining has become a global research area for acquiring interesting
relationships hidden in large data sets. Data Mining has been used in various application …

Image Classification is a widely researched subject both in the academic circles as well as
industry having varied use in wide ranging applications in a multidisciplinary area. These …

In recent years, nature inspired remote sensing image classification has become a global
research area for acquiring the geo-spatial information from satellite data. The findings of …

Fuzzy rule based systems are a class of knowledge based systems. The intelligence of a
fuzzy logic based system lies in its rule base. Two approaches can be found in the literature …

Swarm Intelligence techniques facilitate the configuration and collimation of the remarkable
ability of a group members to reason and learn in an environment of uncertainty and …

This paper introduces a novel bio inspired clustering algorithm called Cuckoo Search
Clustering Algorithm (CSCA). This algorithm is based on the recently proposed Cuckoo …