A new optimization algorithm for solving complex constrained design optimization problems
RV Rao, GG Waghmare - Engineering Optimization, 2017 - Taylor & Francis
This article presents the performance of a very recently proposed Jaya algorithm on a class
of constrained design optimization problems. The distinct feature of this algorithm is that it …
of constrained design optimization problems. The distinct feature of this algorithm is that it …
Constrained optimization via artificial immune system
W Zhang, GG Yen, Z He - IEEE Transactions on Cybernetics, 2013 - ieeexplore.ieee.org
An artificial immune system inspired by the fundamental principle of the vertebrate immune
system, for solving constrained optimization problems, is proposed. The analogy between …
system, for solving constrained optimization problems, is proposed. The analogy between …
A clonal selection algorithm for dynamic multimodal function optimization
The objective of dynamic multimodal optimization problems (DMMOPs) is to find all global
optima in a dynamic environment. Although dynamic optimization problems (DOPs) have …
optima in a dynamic environment. Although dynamic optimization problems (DOPs) have …
A risk-based approach to multi-stage probabilistic transmission network planning
As a result of the power industry restructuring and the increasing integration of large-scale
renewable energy, power transmission expansion planning (TEP) has become a …
renewable energy, power transmission expansion planning (TEP) has become a …
A novel sophisticated hybrid method for intrusion detection using the artificial immune system
Artificial immune system (AIS) as a good prototype for developing Machine Learning (ML) is
a promising candidate to design Intrusion Detection System (IDS). Two of its prevalent …
a promising candidate to design Intrusion Detection System (IDS). Two of its prevalent …
DENSA: An effective negative selection algorithm with flexible boundaries for self-space and dynamic number of detectors
The negative selection algorithm is an anomaly detection technique inspired by the self-
nonself discrimination behavior observed in the Biological Immune System. The most …
nonself discrimination behavior observed in the Biological Immune System. The most …
A hybrid clonal selection algorithm with modified combinatorial recombination and success-history based adaptive mutation for numerical optimization
W Zhang, K Gao, W Zhang, X Wang, Q Zhang… - Applied …, 2019 - Springer
Artificial immune system is a class of computational intelligence methods drawing inspiration
from biological immune system. As one type of popular artificial immune computing model …
from biological immune system. As one type of popular artificial immune computing model …
Discovering Entities Similarities in Biological Networks Using a Hybrid Immune Algorithm
Disease phenotypes are generally caused by the failure of gene modules which often have
similar biological roles. Through the study of biological networks, it is possible to identify the …
similar biological roles. Through the study of biological networks, it is possible to identify the …
Optimization algorithms for detection of social interactions
Community detection is one of the most challenging and interesting problems in many
research areas. Being able to detect highly linked communities in a network can lead to …
research areas. Being able to detect highly linked communities in a network can lead to …
[PDF][PDF] Ensemble swarm behaviour based feature selection and support vector machine classifier for chronic kidney disease prediction
SBV Sara, K Kalaiselvi - International Journal of Engineering & …, 2018 - academia.edu
Kidney Disease and kidney failure is the one of the complicated and challenging health
issues regarding human health. Without having any symptoms few diseases are detected in …
issues regarding human health. Without having any symptoms few diseases are detected in …