Publications of Books Chapters (Last updated on 18-03-2021) |
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19. | S. Sarmah and D. Datta (2021). Product Priority problem: A multi-objective optimization approach for product development based on customers' priority. In: Modeling, Simulation and Optimization, Springer; pages 101-114, ISBN: 978-981-15-9828-9 (Print), doi: https://doi.org/10.1007/978-981-15-9829-6_8. | |
18. | D. Datta, C. Deb, A. Hafila and D. Das (2021). Approximating non-intersecting closed curves through four-bar linkage mechanism. In: Modeling, Simulation and Optimization, Springer; pages 115-128, ISBN: 978-981-15-9828-9 (Print), doi: https://doi.org/10.1007/978-981-15-9829-6_9. | |
17. | D. Deka and D. Datta (2021). Optimization of crude oil preheating process using evolutionary algorithms. In: Modeling, Simulation and Optimization, Springer; pages 129-141, ISBN: 978-981-15-9828-9 (Print), doi: https://doi.org/10.1007/978-981-15-9829-6_10. | |
16. | D. Datta, A. Sailia and Z. Kalita (2021). Stability of female bicyclists on sudden braking. In: Modeling, Simulation and Optimization, Springer; pages 153-163, ISBN: 978-981-15-9828-9 (Print), doi: https://doi.org/10.1007/978-981-15-9829-6_12. | |
15. | D. Datta, Z. Kalita and S. Saikia (2021). Stability of bicycle at low speed. In: Modeling, Simulation and Optimization, Springer; pages 165-175, ISBN: 978-981-15-9828-9 (Print), doi: https://doi.org/10.1007/978-981-15-9829-6_13. | |
14. | A. Deka and D. Datta (2020). Geometric size optimization of annular step fin array for heat transfer by natural convection. In: Nature-Inspired Methods for Metaheuristics Optimization. Part of the Modeling and Optimization in Science and Technologies book series, Springer; vol. 16, pages 385-402, ISBN: 978-3-030-26457-4 (Print), doi: https://doi.org/10.1007/978-3-030-26458-1_21. | |
13. | Z. Kalita and D. Datta (2020). The constrained single-row facility layout problem with repairing mechanisms. In: Nature-Inspired Methods for Metaheuristics Optimization. Part of the Modeling and Optimization in Science and Technologies book series, Springer; vol. 16, pages 359-383, ISBN: 978-3-030-26457-4 (Print), doi: https://doi.org/10.1007/978-3-030-26458-1_20. | |
12. | Z. Kalita and D. Datta (2020). Corridor allocation as a constrained optimization problem using a permutation-based multi-objective genetic algorithm. In: Nature-Inspired Methods for Metaheuristics Optimization. Part of the Modeling and Optimization in Science and Technologies book series, Springer; vol. 16, pages 335-358, ISBN: 978-3-030-26457-4 (Print), doi: https://doi.org/10.1007/978-3-030-26458-1_19. | |
11. | A. Deka and D. Datta (2019). Optimum Annular Plane Fin Profile with Uniformly Varying Thickness. In: Emerging Trends in Mechanical Engineering, LNME, Springer; pages 427-435, ISBN: 978-981-32-9930-6 (Print), doi: https://doi.org/10.1007/978-981-32-9931-3_41. | |
10. | A. Deka and D. Datta (2019). A Comparative Analysis of Annular Fin Array Under Multi-objective Optimization. In: Emerging Trends in Mechanical Engineering, LNME, Springer; pages 195-203, ISBN: 978-981-32-9930-6 (Print), doi: https://doi.org/10.1007/978-981-32-9931-3_20. | |
9. | S. Kashyap and D. Datta (2018). Development of various industrial lime sludge waste-filled hybrid polymeric composites for environmental sustainability. Futuristic Composites, Springer; pages 197-221, ISBN: 978-981-13-2416-1 (Print), doi: https://doi.org/10.1007/978-981-13-2417-8_10. | |
8. | D. Deka and D. Datta (2018). Evolutionary algorithms for scheduling of crude oil preheating process under linear fouling. Bioinspired Optimization Methods and their Applications (BIOMA-2018), Paris (France), May 16-18, 2018; Lectures Notes in Computer Science (LNCS), Springer; 10835:113-125, ISBN: 978-3-642-25724-7 (Print), doi: https://doi.org/10.1007/978-3-319-91641-5_10. | |
7. | S. Dutta and D. Datta (2011). A binary-real-coded differential evolution for unit commitment problem: A preliminary study. Multi-disciplinary International Workshop on Artificial Intelligence (MIWAI-2011), Hyderabad (India); Lecture Notes in Artificial Intelligence (LNAI), Springer; 7080/2011:406-417, ISBN: 978-3-642-25724-7 (Print), doi: http://dx.doi.org/10.1007/978-3-642-25725-4_36. | |
6. | M. Ghosh, B.K. Tiwary and D. Datta (2011). Optimizing state probabilities of biological systems: a preliminary study. In: Advanced Computing, Applications, Databases and Networks; Narosa Publishing House, India; ISBN:978-81-8487-109-8; 18-24. | |
5. | D. Datta and J.R. Figueira (2010). A real-integer-discrete-coded differential evolution algorithm: A preliminary study. European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP-2010), Istanbul (Turkey); Lecture Notes in Computer Science (LNCS), Springer; 6022/2010:35-46, ISBN: 978-3-642-12138-8 (Print), doi: http:/dx.doi.org/10.1007/978-3-642-12139-5_4. | |
4. | D. Datta and A.K. Das (2010). Tuning process parameters of electrochemical machining using a multi-objective genetic algorithm: A preliminary study. Simulated Evolution and Learning (SEAL-2010), Kanpur (India); Lecture Notes in Computer Science (LNCS), Springer; 6457/2010:485-493, ISBN: 978-3-642-17297-7 (Print), doi: http:/dx.doi.org/10.1007/978-3-642-17298-4_52. | |
3. | D. Datta, J.R. Figueira, C.M. Fonseca and F. Tavares-Pereira (2008). Graph partitioning through a multi-objective evolutionary algorithm: A preliminary study. Genetic and evolutionary computation (GECCO-2008), Atlanta (USA); 625-632, ISBN: 978-1-60558-130-9, doi: http://dx.doi.org/10.1145/1389095.1389222. | |
2. | D. Datta, K. Deb and C.M. Fonseca (2007). Multi-objective evolutionary algorithm for university class timetabling problem. In: Evolutionary Scheduling, Studies in Computational Intelligence; Springer; 49/2007:197-236, ISBN: 978-3-540-48582-7 (Print), doi: http://dx.doi.org/10.1007/978-3-540-48584-1_8. | |
1. | D. Datta, K. Deb and C.M. Fonseca (2007). Multi-objective evolutionary algorithms for resource allocation problems. Evolutionary Multi-criterion Optimization (EMO-2006), Matsushima (Japan); Lecture Notes in Computer Science (LNCS), Springer; 4403/2007:401-416, ISBN: 978-3-540-70927-5 (Print), doi:http://dx.doi.org/10.1007/978-3-540-70928-2_32. |