Hybrid immune algorithm with Lamarckian local search for multi-objective optimization

Gong, Maoguo; Liu, Chao; Jiao, Licheng; Cheng, Gang

doi:10.1007/s12293-009-0028-5

Cited by 21 publications

(10 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In the last part of the paper genetic algorithm is used to search for the appropriate line of symmetry of all data sets. Future works include application of some multiobjective optimization techniques [23][24][25][26][27] to find out the line symmetric clusters from the data sets.…”

Section: Discussionmentioning

confidence: 99%

On principle axis based line symmetry clustering techniques

Saha

Bandyopadhyay

2010

Memetic Comp.

View full text Add to dashboard Cite

In this paper, at first a new line symmetry (LS) based distance is proposed which calculates the amount of symmetry of a point with respect to the first principal axis of a data set. The proposed distance uses a recently developed point symmetry (PS) based distance in its computation. Kd-tree based nearest neighbor search is used to reduce the complexity of computing the closest symmetric point. Thereafter an evolutionary clustering technique is described that uses this new principal axis based LS distance for assignment of points to different clusters. The proposed GA with line symmetry distance based (GALS) clustering technique is able to detect any type of clusters, irrespective of their geometrical shape, size or convexity as long as they possess the characteristics of LS. GALS is compared with the existing genetic algorithm based K-means clustering technique, GAK-means, existing genetic algorithm with PS based clustering technique, GAPS, spectral clustering technique, and average linkage clustering technique. Five artificially generated data sets having different characteristics and seven reallife data sets are used to demonstrate the superiority of the proposed GALS clustering technique. In a part of experiment, utility of the proposed genetic LS distance based clustering technique is demonstrated for segmenting the satellite image of the part of the city of Kolkata. The proposed technique is able to distinguish different landcover types in the image. In the last part of the paper genetic algorithm is used to search for the suitable line of symmetry of each cluster.

show abstract

Section: Discussionmentioning

confidence: 99%

On principle axis based line symmetry clustering techniques

Saha

Bandyopadhyay

2010

Memetic Comp.

View full text Add to dashboard Cite

show abstract

“…A local optimization can quickly find the local optimum of a small region within the search space, but it is typically poor in global search. 20 Therefore, a hybrid multi-objective algorithm, called Multi-objective Lamarckian Immune Algorithm (MLIA), 20 is implemented. MLIA performs an excellent global exploration characteristics of EAs, meanwhile it also takes a greedy local search along the direction obtained by Chebyshev approach, 21 so improved decision vectors can be generated, that is, the individual will be locally optimized and the nearby areas of the non-dominated individuals in less-crowded regions of the current Pareto-optimal front are further exploited.…”

Section: Multi-objective Optimizationmentioning

confidence: 99%

Model-based gear-shift optimization for an automated manual transmission

Huang

Gühmann

2018

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

Gear shift quality is traditionally optimized in a vehicle on the road, through the evaluation of the driver’s perception. This classical human-feedback-based method faces different challenges, such as low reproducibility and high cost. In order to overcome these drawbacks, an innovative automatic virtual calibration framework is proposed in the Model-in-the-Loop environment. The devised framework is composed of a dynamic model of the transmission system, an adaptive gear shift controller, an objective assessment of the gear shift quality, and a multi-objective optimization algorithm. The Pareto-optimal front with multi-conflicting criteria, such as shift time and shift comfort, can be obtained within this framework. In particular, an improved hybrid multi-objective evolutionary algorithm is developed to enhance the optimization performance. The optimization of the shift trajectory for an automated manual transmission synchronization system is implemented as a case study. The obtained optimal shift trajectories are also validated on a transmission test bench.

show abstract

“…x n (Tsai et al 2010;Gong et al 2010;Tripathi et al 2007) Table 1 lists descriptions of three test functions: SCH (Schaffer 1985), KUR (Kursawe 1991), and ZDT2 (Zitzler et al 2000). Zitzler et al (2000) introduced three major evaluation targets as performance level indicators for algorithms:…”

Section: Test Function and Performance Indicatormentioning

confidence: 99%

“…Tsai et al 2010;Gong et al 2010;Rodríguez et al 2009)Gong et al 2010;Wang et al 2009;Salazar-Lechuga, …”

unclassified

Integrated Methodology for Supplier Selection: The Case of a Sphygmomanometer Manufacturer in Taiwan

Chang

2016

Journal of Business Economics and Management

View full text Add to dashboard Cite

Supplier selection is a critical multi-criterion decision-making activity for successful supply chain management. This study involved developing an integrated supplier selection methodology, which is constructed using analytic network process, data envelopment analysis, and multiple objective particle swarm optimization. The proposed integrated methodology can account for multiple supplier selection criteria and set boundaries on weight value for multiple objective data envelopment analysis inputs and outputs. To solve the data envelopment analysis model, a new algorithm based on multiple objective particle swarm optimization is introduced, which embeds with tabu list and group mechanisms, and then, it is found to be superior to the compared algorithms in solving performance on three test functions and the illustrative case. In addition, the proposed integrated methodology was applied to a supplier selection problem of sphygmomanometer manufacturer in Taiwan to verify its applicability of decision-making process. The results show that the methodology can be implemented as an effective decision aid for supplier selection under multiple criteria with weight restrictions.

show abstract

Hybrid immune algorithm with Lamarckian local search for multi-objective optimization

Cited by 21 publications

References 48 publications

On principle axis based line symmetry clustering techniques

On principle axis based line symmetry clustering techniques

Model-based gear-shift optimization for an automated manual transmission

Integrated Methodology for Supplier Selection: The Case of a Sphygmomanometer Manufacturer in Taiwan

Contact Info

Product

Resources

About