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ORCIDMulti-Objective Optimization, 2018
- Jyotsna Kumar Mandal, Somnath Mukhopadhyay, Paramartha Dutta:
Multi-Objective Optimization - Evolutionary to Hybrid Framework. Springer 2018, ISBN 978-981-13-1470-4 - Haitham Seada, Kalyanmoy Deb:
Non-dominated Sorting Based Multi/Many-Objective Optimization: Two Decades of Research and Application. 1-24 - Saibal Majumder, Samarjit Kar, Tandra Pal:
Mean-Entropy Model of Uncertain Portfolio Selection Problem. 25-54 - Anirban Mukhopadhyay:
Incorporating Gene Ontology Information in Gene Expression Data Clustering Using Multiobjective Evolutionary Optimization: Application in Yeast Cell Cycle Data. 55-78 - Bijay Baran Pal:
Interval-Valued Goal Programming Method to Solve Patrol Manpower Planning Problem for Road Traffic Management Using Genetic Algorithm. 79-113 - R. Chulaka Gunasekara, Chilukuri K. Mohan, Kishan Mehrotra:
Multi-objective Optimization to Improve Robustness in Networks. 115-139 - Santi P. Maity, Anal Paul:
On Joint Maximization in Energy and Spectral Efficiency in Cooperative Cognitive Radio Networks. 141-157 - Saurav Mallik
, Tapas Bhadra, Soumita Seth, Sanghamitra Bandyopadhyay, Jianjiao Chen:
Multi-Objective Optimization Approaches in Biological Learning System on Microarray Data. 159-180 - Shouvik Chakraborty, Kalyani Mali:
Application of Multiobjective Optimization Techniques in Biomedical Image Segmentation - A Study. 181-194 - Prativa Agarwalla, Sumitra Mukhopadhyay:
Feature Selection Using Multi-Objective Optimization Technique for Supervised Cancer Classification. 195-213 - Asoke Kumar Bhunia, Amiya Biswas, Ali Akbar Shaikh:
Extended Nondominated Sorting Genetic Algorithm (ENSGA-II) for Multi-Objective Optimization Problem in Interval Environment. 215-241 - Asit Kumar Das, Sunanda Das:
A Comparative Study on Different Versions of Multi-Objective Genetic Algorithm for Simultaneous Gene Selection and Sample Categorization. 243-267 - Niladri Sekhar Datta, Himadri Sekhar Dutta, Koushik Majumder, Sumana Chatterjee, Najir Abdul Wasim:
A Survey on the Application of Multi-Objective Optimization Methods in Image Segmentation. 269-278 - Asit Kumar Das, Soumen Kumar Pati:
Bi-objective Genetic Algorithm with Rough Set Theory for Important Gene Selection in Disease Diagnosis. 279-298 - Amit Kumar Das, Debasish Das, Dilip Kumar Pratihar:
Multi-Objective Optimization and Cluster-Wise Regression Analysis to Establish Input-Output Relationships of a Process. 299-318
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