A multi-objective artificial immune algorithm for parameter optimization in support vector machine

Aydın, İlhan; Karaköse, Mehmet; Akın, Erhan

doi:10.1016/j.asoc.2009.11.003

Cited by 179 publications

(62 citation statements)

References 17 publications

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“…Correspondingly, many original or improved immune techniques [15][16][17], based on the humoral immune response principle, have been reported continually. This indicates that the artificial immune system paradigm is an interesting topic for multiobjective optimization problems.…”

Section: Dynamic Multi-objective Immune Optimization (Dmio)mentioning

confidence: 99%

Immune Optimization Approach for Dynamic Constrained Multi-Objective Multimodal Optimization Problems

Zhang¹,

Liao²,

Wang³

2012

AJOR

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This work investigates one immune optimization approach for dynamic constrained multi-objective multimodal optimization in terms of biological immune inspirations and the concept of constraint dominance. Such approach includes mainly three functional modules, environmental detection, population initialization and immune evolution. The first, inspired by the function of immune surveillance, is designed to detect the change of such kind of problem and to decide the type of a new environment; the second generates an initial population for the current environment, relying upon the result of detection; the last evolves two sub-populations along multiple directions and searches those excellent and diverse candidates. Experimental results show that the proposed approach can adaptively track the environmental change and effectively find the global Pareto-optimal front in each environment.

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Section: Dynamic Multi-objective Immune Optimization (Dmio)mentioning

confidence: 99%

Immune Optimization Approach for Dynamic Constrained Multi-Objective Multimodal Optimization Problems

Zhang¹,

Liao²,

Wang³

2012

AJOR

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“…Then a fault detector was generated based on the artificial immune systems. In [13], support vector machine (SVM) is a classification method, but some parameters in SVM are selected by man's experience. Aydin et al used a multiobjective artificial immune algorithm (AIA) to optimize the parameters of SVM.…”

Section: Related Workmentioning

confidence: 99%

Concurrent Fault Diagnosis for Rotating Machinery Based on Vibration Sensors

Zhang

Sun

et al. 2013

International Journal of Distributed Sensor Networks

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Rotating machinery is widely used in modern industry. It is one of the most critical components in a variety of machinery and equipment. Along with the continuous development of science and technology, the structures of rotating machinery become of larger scale, of higher speed, and more complicated, which results in higher probability of concurrent failure in practice. It is important to enable reliable, safe, and efficient operation of large-scale and critical rotating machinery, which requires us to achieve accurate diagnosis of concurrent fault, for example, rolling bearing diagnosis, gearbox diagnosis, and compressor diagnosis. In this paper, to achieve concurrent fault diagnosis for rotating machinery, which cannot be accurately diagnosed by existing methods, we develop an integrated method using artificial immune algorithm and evidential theory.

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“…The third stage is characterized by a number of mixed algorithms generated via the combination of a MOEA and other novel intelligent algorithms. These mixed algorithms include the immune multi-objective optimization algorithm (IMOA) [11], the multi-objective particle swarm optimization algorithm (MOPSO) [12], and the quantuminspired multi-objective evolutionary algorithm(QMEA) [13]. As stated in the previous studies [15][16].…”

Section: Introductionmentioning

confidence: 99%

An Improved Multi-objective Evolutionary Algorithm for Multi-Objective 0/1 Knapsack Problem

Wang²

2015

IJMUE

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A multi-objective artificial immune algorithm for parameter optimization in support vector machine

Cited by 179 publications

References 17 publications

Immune Optimization Approach for Dynamic Constrained Multi-Objective Multimodal Optimization Problems

Immune Optimization Approach for Dynamic Constrained Multi-Objective Multimodal Optimization Problems

Concurrent Fault Diagnosis for Rotating Machinery Based on Vibration Sensors

An Improved Multi-objective Evolutionary Algorithm for Multi-Objective 0/1 Knapsack Problem

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