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ORCIDNikhil Padhye
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2020 – today
- 2024
[c16]Subodh Kalia
, Nikhil Padhye, Chilukuri K. Mohan:
Structural Optimization with Isogeometric Representation using an Evolutionary Approach. GECCO Companion 2024: 1728-1731- 2022
- [i2]Nikhil Padhye, Subodh Kalia:
Isogeometric Analysis of Elastic Sheets Exhibiting Combined Bending and Stretching using Dynamic Relaxation. CoRR abs/2206.10406 (2022)
2010 – 2019
- 2015
- [j3]Nikhil Padhye, Pulkit Mittal, Kalyanmoy Deb:
Feasibility preserving constraint-handling strategies for real parameter evolutionary optimization. Comput. Optim. Appl. 62(3): 851-890 (2015) - [i1]Nikhil Padhye, Pulkit Mittal, Kalyanmoy Deb:
Feasibility Preserving Constraint-Handling Strategies for Real Parameter Evolutionary Optimization. CoRR abs/1504.04421 (2015) - 2014
- [j2]Kalyanmoy Deb, Nikhil Padhye:
Enhancing performance of particle swarm optimization through an algorithmic link with genetic algorithms. Comput. Optim. Appl. 57(3): 761-794 (2014) - 2013
- [j1]Nikhil Padhye, Piyush Bhardawaj, Kalyanmoy Deb:
Improving differential evolution through a unified approach. J. Glob. Optim. 55(4): 771-799 (2013) - [c15]Nikhil Padhye, Pulkit Mittal, Kalyanmoy Deb:
Differential evolution: Performances and analyses. IEEE Congress on Evolutionary Computation 2013: 1960-1967 - 2012
- [c14]Nikhil Padhye, Kalyanmoy Deb, Pulkit Mittal:
Boundary Handling Approaches in Particle Swarm Optimization. BIC-TA (1) 2012: 287-298 - [c13]Nikhil Padhye:
Evolutionary approaches for real world applications in 21st century. GECCO (Companion) 2012: 43-48 - 2011
- [p1]Nikhil Padhye, Kalyanmoy Deb:
Multi-objective Optimisation and Multi-criteria Decision Making for FDM Using Evolutionary Approaches. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing 2011: 219-247 - 2010
- [c12]Kalyanmoy Deb, Nikhil Padhye:
Development of efficient particle swarm optimizers by using concepts from evolutionary algorithms. GECCO 2010: 55-62 - [c11]Nikhil Padhye, Kalyanmoy Deb:
Evolutionary multi-objective optimization and decision making for selective laser sintering. GECCO 2010: 1259-1266 - [c10]Nikhil Padhye, Piyush Bhardawaj, Kalyanmoy Deb:
Improving Differential Evolution by Altering Steps in EC. SEAL 2010: 146-155
2000 – 2009
- 2009
- [c9]Nikhil Padhye, Jürgen Branke, Sanaz Mostaghim:
Empirical comparison of MOPSO methods - Guide selection and diversity preservation -. IEEE Congress on Evolutionary Computation 2009: 2516-2523 - [c8]Nikhil Padhye:
Comparison of archiving methods in multi-objectiveparticle swarm optimization (MOPSO): empirical study. GECCO 2009: 1755-1756 - [c7]Nikhil Padhye, Subodh Kalia:
Rapid prototyping using evolutionary approaches: part 1. GECCO (Companion) 2009: 2725-2728 - [c6]Nikhil Padhye, Subodh Kalia:
Rapid prototyping using evolutionary approaches: part 2. GECCO (Companion) 2009: 2737-2740 - [c5]Nikhil Padhye, Long Zuo, Chilukuri K. Mohan, Pramod K. Varshney:
Dynamic and Evolutionary Multi-objective Optimization for Sensor Selection in Sensor Networks for Target Tracking. IJCCI 2009: 160-167 - [c4]Nikhil Padhye, Chilukuri K. Mohan, Kishan G. Mehrotra, Pramod K. Varshney:
Strategies for Sensor Selection in Monitoring Toxic Chemical Diffusion Scenarios. SNA 2009: 7-12 - 2008
- [c3]Nikhil Padhye:
Topology optimization of compliant mechanism using multi-objective particle swarm optimization. GECCO (Companion) 2008: 1831-1834 - [c2]Nikhil Padhye:
Interplanetary trajectory optimization with swing-bys using evolutionary multi-objective optimization. GECCO (Companion) 2008: 1835-1838 - 2007
- [c1]Kalyanmoy Deb, Nikhil Padhye, Ganesh Neema:
Interplanetary Trajectory Optimization with Swing-Bys Using Evolutionary Multi-objective Optimization. ISICA 2007: 26-35
Coauthor Index
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