Selection of the best robotic system considering subjective and objective factors is very imperative decision making procedure. This paper presents an extended TOPSIS based homogeneous group algorithm for selection industrial systems under fuzzy multiple criteria (FMCDM) analysis. FPIS, FNIS, positive negative separation measures, factor measure, measure robot index are computed. A case study h...

This paper proposes an extended negative selection algorithm for anomaly detection. Unlike previously proposed negative selection algorithms which directly construct detectors in the complementary space of self-data space, our approach first evolves a number of common schemata through coevolutionary genetic algorithm in self-data space, and then constructs detectors in the complementary space o...

Biology demonstrates high levels of fault tolerance in all instances. This paper documents a demonstration system that takes inspiration from the immune system and embryonic processes to acquire some of these fault tolerant properties in hardware circuits. A multi-layer immune system is used as fault detection; a negative selection algorithm is used at a system level to identify non-self states...

This paper reviews the progress of negative selection algorithms, an anomaly/change detection approach in Artificial Immune Systems (AIS). Following its initial model, we try to identify the fundamental characteristics of this family of algorithms and summarize their diversities. There exist various elements in this method, including data representation, coverage estimate, affinity measure, and...

An efficient optimization algorithm for identifying the best least squares regression model under the condition of non-negative coefficients is proposed. The algorithm exposits an innovative solution via the unrestricted least squares and is based on the regression tree and branchand-bound techniques for computing the best subset regression. The aim is to filling a gap in computationally tracta...

in this paper, we propose a new gene selection algorithm based on shuffled frog leaping algorithm that is called sfla-fs. the proposed algorithm is used for improving cancer classification accuracy. most of the biological datasets such as cancer datasets have a large number of genes and few samples. however, most of these genes are not usable in some tasks for example in cancer classification. ...