受强制性开放获取政策约束的文章 - Kalyanmoy Deb了解详情
无法在其他位置公开访问的文章：28 篇
Faster hypervolume-based search using Monte Carlo sampling
J Bader, K Deb, E Zitzler
Multiple Criteria Decision Making for Sustainable Energy and Transportation …, 2010
强制性开放获取政策： Swiss National Science Foundation
Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties
H Li, K Deb, Q Zhang, PN Suganthan, L Chen
Swarm and Evolutionary Computation 46, 104-117, 2019
强制性开放获取政策： 国家自然科学基金委员会, Agence Nationale de la Recherche, Research Grants …
Adaptively allocating search effort in challenging many-objective optimization problems
HL Liu, L Chen, Q Zhang, K Deb
IEEE Transactions on Evolutionary Computation 22 (3), 433-448, 2017
强制性开放获取政策： 国家自然科学基金委员会, Research Grants Council, Hong Kong
Detecting irrigation extent, frequency, and timing in a heterogeneous arid agricultural region using MODIS time series, Landsat imagery, and ancillary data
Y Chen, D Lu, L Luo, Y Pokhrel, K Deb, J Huang, Y Ran
Remote Sensing of Environment 204, 197-211, 2018
强制性开放获取政策： 国家自然科学基金委员会
Using Karush-Kuhn-Tucker proximity measure for solving bilevel optimization problems
A Sinha, T Soun, K Deb
Swarm and evolutionary computation 44, 496-510, 2019
强制性开放获取政策： Department of Science & Technology, India
Solving bilevel multicriterion optimization problems with lower level decision uncertainty
A Sinha, P Malo, K Deb, P Korhonen, J Wallenius
IEEE Transactions on Evolutionary Computation 20 (2), 199-217, 2015
强制性开放获取政策： Academy of Finland
A bi-objective constrained optimization algorithm using a hybrid evolutionary and penalty function approach
K Deb, R Datta
Engineering Optimization 45 (5), 503-527, 2013
强制性开放获取政策： Department of Science & Technology, India
A survey of evolutionary algorithms using metameric representations
M Ryerkerk, R Averill, K Deb, E Goodman
Genetic Programming and Evolvable Machines 20, 441-478, 2019
强制性开放获取政策： US National Science Foundation, US Department of Defense
Search-based detection of model level changes
M Kessentini, U Mansoor, M Wimmer, A Ouni, K Deb
Empirical Software Engineering 22, 670-715, 2017
强制性开放获取政策： Austrian Science Fund
An adaptive normalization based constrained handling methodology with hybrid bi-objective and penalty function approach
R Datta, K Deb
2012 IEEE Congress on Evolutionary Computation, 1-8, 2012
强制性开放获取政策： Department of Science & Technology, India
Implicit constraints handling for efficient search of feasible solutions
AH Gandomi, K Deb
Computer Methods in Applied Mechanics and Engineering 363, 112917, 2020
强制性开放获取政策： US National Science Foundation
Benefits of sparse population sampling in multi-objective evolutionary computing for large-scale sparse optimization problems
I Kropp, AP Nejadhashemi, K Deb
Swarm and Evolutionary Computation 69, 101025, 2022
强制性开放获取政策： US Department of Agriculture
Effect of objective normalization and penalty parameter on penalty boundary intersection decomposition-based evolutionary many-objective optimization algorithms
L Chen, K Deb, HL Liu, Q Zhang
Evolutionary Computation 29 (1), 157-186, 2021
强制性开放获取政策： US National Science Foundation, 国家自然科学基金委员会, Agence Nationale de …
Variable-length Pareto optimization via decomposition-based evolutionary multiobjective algorithm
H Li, K Deb, Q Zhang
IEEE Transactions on Evolutionary Computation 23 (6), 987-999, 2019
强制性开放获取政策： 国家自然科学基金委员会, Agence Nationale de la Recherche, Research Grants …
Individual penalty based constraint handling using a hybrid bi-objective and penalty function approach
R Datta, K Deb
2013 IEEE Congress on Evolutionary Computation, 2720-2727, 2013
强制性开放获取政策： Department of Science & Technology, India
Solving mixed pareto-lexicographic multiobjective optimization problems: the case of priority levels
L Lai, L Fiaschi, M Cococcioni, K Deb
IEEE Transactions on Evolutionary Computation 25 (5), 971-985, 2021
强制性开放获取政策： Government of Italy
Genetic algorithm–based design and development of particle-reinforced silicone rubber for soft tooling process
AK Nandi, K Deb, S Datta
Materials and Manufacturing Processes 28 (7), 753-760, 2013
强制性开放获取政策： Department of Science & Technology, India
Solving the maximum edge disjoint path problem using a modified Lagrangian particle swarm optimisation hybrid
J Weiner, AT Ernst, X Li, Y Sun, K Deb
European Journal of Operational Research 293 (3), 847-862, 2021
强制性开放获取政策： Australian Research Council
Analysis and multi-objective optimization of a kind of teaching manipulator
Z Fan, Y You, X Cai, H Zheng, G Zhu, W Li, A Garg, K Deb, E Goodman
Swarm and Evolutionary Computation 50, 100554, 2019
强制性开放获取政策： 国家自然科学基金委员会
Modelling the Pareto-optimal set using B-spline basis functions for continuous multi-objective optimization problems
P Bhardwaj, B Dasgupta, K Deb
Engineering Optimization 46 (7), 912-938, 2014
强制性开放获取政策： Department of Science & Technology, India
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