An overview on structural health monitoring: From the current state-of-the-art to new bio-inspired sensing paradigms
In the last decades, the field of structural health monitoring (SHM) has grown exponentially.
Yet, several technical constraints persist, which are preventing full realisation of its potential …
Yet, several technical constraints persist, which are preventing full realisation of its potential …
An evolutionary algorithm-based approach to robust analog circuit design using constrained multi-objective optimization
The increasing complexity of circuit design needs to be managed with appropriate
optimization algorithms and accurate statistical descriptions of design models in order to …
optimization algorithms and accurate statistical descriptions of design models in order to …
Clustered-gravitational search algorithm and its application in parameter optimization of a low noise amplifier
M Shams, E Rashedi, A Hakimi - Applied Mathematics and Computation, 2015 - Elsevier
Gravitational search algorithm (GSA) is a recent introduced algorithm which is inspired by
law of gravity and mass interactions. In this paper, a novel version of GSA, named Clustered …
law of gravity and mass interactions. In this paper, a novel version of GSA, named Clustered …
[图书][B] Bio-inspired computation in telecommunications
Bio-inspired computation, especially those based on swarm intelligence, has become
increasingly popular in the last decade. Bio-Inspired Computation in Telecommunications …
increasingly popular in the last decade. Bio-Inspired Computation in Telecommunications …
Clonal selection: an immunological algorithm for global optimization over continuous spaces
In this research paper we present an immunological algorithm (IA) to solve global numerical
optimization problems for high-dimensional instances. Such optimization problems are a …
optimization problems for high-dimensional instances. Such optimization problems are a …
Real coded clonal selection algorithm for unconstrained global optimization using a hybrid inversely proportional hypermutation operator
Numerical optimization of given objective functions is a crucial task in many real-life
problems. This paper introduces a new immunological algorithm for continuous global …
problems. This paper introduces a new immunological algorithm for continuous global …
Artificial immune systems for optimization
HS Bernardino, HJC Barbosa - Nature-Inspired Algorithms for Optimisation, 2009 - Springer
Abstract Artificial Immune Systems (AISs) are computational methods inspired by the
biological immune system and thus classified as a nature-inspired meta-heuristic along with …
biological immune system and thus classified as a nature-inspired meta-heuristic along with …
[PDF][PDF] Artificial immune system: State of the art approach
PK Mishra, M Bhusry - International Journal of Computer Applications, 2015 - Citeseer
The inspiration of framing the artificially developed immune system (AIS) is done through the
biological immune system which compromise of signified information processing and self …
biological immune system which compromise of signified information processing and self …
Protein multiple sequence alignment by hybrid bio-inspired algorithms
This article presents an immune inspired algorithm to tackle the Multiple Sequence
Alignment (MSA) problem. MSA is one of the most important tasks in biological sequence …
Alignment (MSA) problem. MSA is one of the most important tasks in biological sequence …
An ensemble algorithm with self-adaptive learning techniques for high-dimensional numerical optimization
Y Xue, S Zhong, Y Zhuang, B Xu - Applied Mathematics and Computation, 2014 - Elsevier
There are many evolutionary algorithms for numerical optimization problems. However, the
universality and robustness of existing algorithms are still unsatisfactory, and the …
universality and robustness of existing algorithms are still unsatisfactory, and the …