We introduce a distinction between algorithm performance and algorithm competence and argue that bio-inspired computing should characterize the former rather than the latter. To exemplify this, we explore and extend a bio-inspired algorithm for collective construction influenced by paper wasp behavior. Despite its being provably general in its competence, we demonstrate limitations on the algor...

<p class="p1"><span lang="EN-US">This paper presents the bio-inspired algorithms for decisioning wireless access point (AP) installation. In order to achieve desired coverage capability of APs, are applied robust competition and optimization. The main objective is determine optimal number APs with high in concerning area using genetic ant colony optimization algorithms. Received sig...

This paper proposes a novel solution to spam detection inspired by a model of the adaptive immune system known as the cross-regulation model. We report on the testing of a preliminary algorithm on six e-mail corpora. We also compare our results with those obtained by the Naive Bayes classifier and another binary classification method we developed previously for biomedical text-mining applicatio...

Developmental biology requires three principles of organization characteristic of living organisms: multicellular architecture, cellular division, and cellular differentiation. Implemented in silicon according to these principles, new computing machines become able to grow, to self-replicate, and to self-repair. The introduction of a new algorithm for cellular division, the so-called Tom Thumb ...

Biological inspired routing or bio-inspired routing is a new heuristic routing algorithm in wireless sensor network, which is inspired from biological activities of insects. ACO is ants’ inspired routing algorithm ACO, which has the ability to find shortest path and re-establish the new route in the case of route failure. In order to improve the network performance i.e. increase network lifetim...

Artificial immune systems (AIS) constitute a relatively new area of bio-inspired computing. Biological models of the natural immune system, in particular the theories of clonal selection, immune networks and negative selection, have provided the inspiration for AIS algorithms. Moreover, such algorithms have been successfully employed in a wide variety of different application areas. However, de...

Recently biologically inspired, converged and hybrid information technologies have become of significant interest due to their capabilities in handling many real world complex problems, involving imprecision, uncertainty and vagueness and highdimensionality. This special issue is committed to capture the state-of-the-art and recent advances on various aspects of biologically inspired computing ...

In this paper, a new meta-heuristic bio-inspired optimization algorithm, called Cuttlefish Algorithm (CFA) is presented. The algorithm mimics the mechanism of color changing behavior used by the cuttlefish to solve numerical global optimization problems. The patterns and colors seen in cuttlefish are produced by reflected light from different layers of cells including (chromatophores, leucophor...