Biologically inspired complex systems are increasing. As the abstractions presented by biologically inspired systems, systems architects will be required to include the abstractions in their architecture in order to communicate the design to system implementers. The paper argues that in order to correctly present the architectures of bio inspired system a need of bio inspired views will be requ...

Obtaining an optimal process plan according to all alternative manufacturing resources has become very important task in flexible process planning problem research. In this paper, we use a novel nature-inspired algorithm called Ant Lion Optimizer (ALO) to solve this NP-hard combinatorial optimization problem. The network representation is adopted to describe flexibilities in process planning an...

In machine learning and statistics, feature selection is the technique of selecting a subset of relevant features for building robust learning models. In this paper we propose a bio-inspired BAT algorithm as feature selection method to find the optimal features from the KDDCup’99 intrusion detection dataset obtained from UCI Machine Learning repository. Neural Networks (NN) as a classifier coll...

The gist of the paper is to provide an insight about the various clustering using bio-inspired optimization for Protein Interaction Network. The major idea behind the clustering protein-protein interaction network is to identify dense sub-graphs that show significant functional modules in protein-protein interactions. A set of proteins that interact with each other are actors of a specific cell...

Bio-inspired heuristics have been promising in solving complex scheduling optimization problems. Several researches have been conducted to tackle the problems of task scheduling for the heterogeneous and dynamic grid systems using different bio-inspired mechanisms such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO). PSO has been proven to have a rela...

It is not unusual for humans to be inspired by natural phenomena to develop new advanced materials; such materials are called bio-inspired materials. Interest in bio-inspired polymeric superhydrophilic, superhydrophobic, and superoleophobic materials has substantially increased over the last few decades, as has improvement in the related technologies. This review reports the latest developments...

Maximisation of influence propagation is a key ingredient to any viral marketing or socio-political campaigns. However, it is an NP-hard problem, and various approximate algorithms have been suggested to address the issue, though not largely successful. In this paper, we propose a bio-inspired approach to select the initial set of nodes which is significant in rapid convergence towards a sub-op...