Clonal selection is the keystone of mainstream immunology and computational systems based on immunological principles. For the latter, clonal selection is often interpreted as an asexual variant of natural selection, and thus, tend to be variations on evolutionary strategies. Retro-fitting immunological sophistication and theoretical rigour onto such systems has proved to be unwieldy. In this p...

This paper presents the Clonal selection algorithmic approach to minimize power loss and energy cost by optimal capacitor placement and sizing in Radial Distribution System (RDS). The clonal selection optimization for optimal capacitor allocation is considering the daily load curve, which is represented by a given number of load levels. As an important branch of the Artificial Immune Systems (A...

Paramecia cells, like human diploid cells cultured in vitro, provide a useful model system for understanding the mechanism that limits division potential. The reported maxima of the clonal lifespan of Paramecium tetraurelia fall into two ranges: from 220 to 258 fissions and from 310 to 325 fissions. We found that neither the selection of vigorous lines nor the cryptic occurrence of autogamy off...

—The energy consumption is considered as key factors of green cloud computing to achieve resource allocation. To address the issue of high energy consumption and low efficiency of cloud computing, this paper proposes a powerefficient immune clonal optimization algorithm (PEICO) based on dynamic load balancing strategy and immune clonal selection theory in green cloud computing. The experimenta...

Clonal selection theory is one of the important theories in immunological area. Applying clonal selection to optimization problems can also be found in many papers. In this paper, the classical Clonal Selection Algorithm (CSA) is extended by introducing the receptor editing mechanism which provides a chance for autoreactive cells to survive during affinity maturation process. To demonstrate the...