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Viewing Publication 1 - 100 from 540

2024

Identifying Pareto Fronts Reliably Using a Multistage Reference-Vector-Based FrameworkKalyanmoy Deb, Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth Fialho Wanner. tec, 28(1):252-266, February 2024. [doi]

Toward Interpretable-AI Policies Using Evolutionary Nonlinear Decision Trees for Discrete-Action SystemsYashesh D. Dhebar, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu 0001, Dimitar P. Filev. tcyb, 54(1):50-62, January 2024. [doi]

An Interactive Knowledge-Based Multiobjective Evolutionary Algorithm Framework for Practical Optimization ProblemsAbhiroop Ghosh, Kalyanmoy Deb, Erik D. Goodman, Ronald C. Averill. tec, 28(1):223-237, February 2024. [doi]

Improved Evolutionary Operators for Sparse Large-Scale Multiobjective Optimization ProblemsIan Kropp, A. Pouyan Nejadhashemi, Kalyanmoy Deb. tec, 28(2):460-473, April 2024. [doi]

Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance AssessmentZhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb. tec, 28(2):323-337, April 2024. [doi]

2023

Investigating Innovized Progress Operators with Different Machine Learning MethodsDrishti Bhasin, Sajag Swami, Sarthak Sharma, Saumya Sah, Dhish Kumar Saxena, Kalyanmoy Deb. emo 2023: 134-146 [doi]

Minimizing Expected Deviation in Upper Level Outcomes Due to Lower Level Decision Making in Hierarchical Multiobjective ProblemsKalyanmoy Deb, Zhichao Lu, Ian Kropp, Juan Sebastian Hernandez-Suarez, Rayan Hussein, Steven Miller, Amir Pouyan Nejadhashemi. tec, 27(3):505-519, 2023. [doi]

Learning to Predict Pareto-Optimal Solutions from Pseudo-weightsKalyanmoy Deb, Aryan Gondkar, Anirudh Suresh. emo 2023: 191-204 [doi]

IK-EMOViz: An Interactive Knowledge-Based Evolutionary Multi-objective Optimization FrameworkAbhiroop Ghosh, Kalyanmoy Deb, Ronald C. Averill, Erik D. Goodman. emo 2023: 606-619 [doi]

RegEMO: Sacrificing Pareto-Optimality for Regularity in Multi-objective Problem-SolvingRitam Guha, Kalyanmoy Deb. emo 2023: 29-42 [doi]

MOAZ: A Multi-Objective AutoML-Zero FrameworkRitam Guha, Wei Ao, Stephen Kelly, Vishnu Boddeti, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb. gecco 2023: 485-492 [doi]

Revisiting Residual Networks for Adversarial RobustnessShihua Huang, Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti. cvpr 2023: 8202-8211 [doi]

Discovering Adaptable Symbolic Algorithms from ScratchStephen Kelly, Daniel S. Park, Xingyou Song, Mitchell McIntire, Pranav Nashikkar, Ritam Guha, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti, Jie Tan, Esteban Real. iros 2023: 3889-3896 [doi]

Optimizing Keyboard Configuration Using Single and Multi-Objective Evolutionary AlgorithmsAhmer Khan, Kalyanmoy Deb. gecco 2023: 219-222 [doi]

Pure and mixed lexicographic-paretian many-objective optimization: state of the artLeonardo Lai, Lorenzo Fiaschi, Marco Cococcioni, Kalyanmoy Deb. nc, 22(2):227-242, June 2023. [doi]

Visualization and analysis of Pareto-optimal fronts using interpretable self-organizing map (iSOM)Deepak Nagar, Palaniappan Ramu, Kalyanmoy Deb. swevo, 76:101202, 2023. [doi]

Eliminating Non-dominated Sorting from NSGA-IIIBalija Santoshkumar, Kalyanmoy Deb, Lei Chen 0044. emo 2023: 71-85 [doi]

A Localized High-Fidelity-Dominance-Based Many-Objective Evolutionary AlgorithmDhish Kumar Saxena, Sukrit Mittal, Sarang Kapoor, Kalyanmoy Deb. tec, 27(4):923-937, 2023. [doi]

Utilizing Innovization to Solve Large-Scale Multi-Objective Chesapeake Bay Watershed ProblemGregorio Toscano, Hoda Razavi, Amir Pouyan Nejadhashemi, Kalyanmoy Deb, Lewis C. Linker. cec 2023: 1-8 [doi]

Interpretable self-organizing map assisted interactive multi-criteria decision-making following Pareto-RaceDeepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb. asc, 149(Part B):111032, December 2023. [doi]

Visualization-aided multi-criteria decision-making using interpretable self-organizing mapsDeepanshu Yadav, Deepak Nagar, Palaniappan Ramu, Kalyanmoy Deb. eor, 309(3):1183-1200, 2023. [doi]

Finding Robust Solutions for Many-Objective Optimization Using NSGA-IIIDeepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb. cec 2023: 1-8 [doi]

Multi-objective Robust Optimization and Decision-Making Using Evolutionary AlgorithmsDeepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb. gecco 2023: 786-794 [doi]

A general framework for enhancing relaxed Pareto dominance methods in evolutionary many-objective optimizationShuwei Zhu, Lihong Xu, Erik D. Goodman, Kalyanmoy Deb, Zhichao Lu. nc, 22(2):287-313, June 2023. [doi]

2022

Handling constrained multi-objective optimization problems with heterogeneous evaluation times: proof-of-principle resultsJulian Blank, Kalyanmoy Deb. memetic, 14(2):135-150, 2022. [doi]

Parameter Tuning and Control: A Case Study on Differential Evolution With Polynomial MutationJulian Blank, Kalyanmoy Deb. cec 2022: 1-8 [doi]

Analyzing Dominance Move (MIP-DoM) Indicator for Multiobjective and Many-Objective OptimizationClaudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth Fialho Wanner, Kalyanmoy Deb. tec, 26(3):476-489, 2022. [doi]

A computationally fast but approximate MIP-DoM calculation for multi-objective optimizationClaudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth F. Wanner, Kalyanmoy Deb. gecco 2022: 340-343 [doi]

Image-based benchmarking and visualization for large-scale global optimizationKyle Robert Harrison, Azam Asilian Bidgoli, Shahryar Rahnamayan, Kalyanmoy Deb. apin, 52(4):4161-4191, 2022. [doi]

A speciation-based bilevel niching method for multimodal truss design problemsMd. Jakirul Islam, Xiaodong Li 0001, Kalyanmoy Deb. jco, 44(1):172-206, 2022. [doi]

Approximations for Pareto and Proper Pareto solutions and their KKT conditionsPoonam Kesarwani, Pradyumn Kumar Shukla, Joydeep Dutta, Kalyanmoy Deb. mmor, 96(1):123-148, 2022. [doi]

Benefits of sparse population sampling in multi-objective evolutionary computing for large-Scale sparse optimization problemsIan Kropp, Amir Pouyan Nejadhashemi, Kalyanmoy Deb. swevo, 69:101025, 2022. [doi]

A customized genetic algorithm for bi-objective routing in a dynamic networkAlaleh Maskooki, Kalyanmoy Deb, Markku Kallio. eor, 297(2):615-629, 2022. [doi]

Enhanced Innovized Progress Operator for Evolutionary Multi- and Many-Objective OptimizationSukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman. tec, 26(5):961-975, 2022. [doi]

Innovized Progress Operator for Faster Convergence in Evolutionary Multi-objective OptimizationSukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman. telo, 2(1), 2022. [doi]

Large-scale Multi-objective Optimization for Water Quality in Chesapeake Bay WatershedGregorio Toscano, Juan Sebastian Hernandez-Suarez, Julian Blank, Amir Pouyan Nejadhashemi, Kalyanmoy Deb, Lewis Linker. cec 2022: 1-9 [doi]

Visualization-aided Multi-criterion Decision-making Using Reference Direction Based Pareto RaceDeepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb. ssci 2022: 125-132 [doi]

2021

Reference point based evolutionary multi-objective optimization algorithms with convergence properties using KKTPM and ASF metricsMohamed Abouhawwash, Kalyanmoy Deb. heuristics, 27(4):575-614, 2021. [doi]

Multimodal Optimization by Evolution Strategies with Repelling SubpopulationsAli Ahrari, Kalyanmoy Deb. In Mike Preuss, Michael G. Epitropakis, Xiaodong Li 0001, Jonathan E. Fieldsend, editors, Metaheuristics for Finding Multiple Solutions. Natural Computing Series, pages 145-163, Springer, 2021. [doi]

Generating Well-Spaced Points on a Unit Simplex for Evolutionary Many-Objective OptimizationJulian Blank, Kalyanmoy Deb, Yashesh D. Dhebar, Sunith Bandaru, Haitham Seada. tec, 25(1):48-60, 2021. [doi]

Constrained Bi-objective Surrogate-Assisted Optimization of Problems with Heterogeneous Evaluation Times: Expensive Objectives and Inexpensive ConstraintsJulian Blank, Kalyanmoy Deb. emo 2021: 257-269 [doi]

PSAF: a probabilistic surrogate-assisted framework for single-objective optimizationJulian Blank, Kalyanmoy Deb. gecco 2021: 652-659 [doi]

A non-dominated sorting based customized random-key genetic algorithm for the bi-objective traveling thief problemJonatas B. C. Chagas, Julian Blank, Markus Wagner 0007, Marcone J. F. Souza, Kalyanmoy Deb. heuristics, 27(3):267-301, 2021. [doi]

Effect of Objective Normalization and Penalty Parameter on Penalty Boundary Intersection Decomposition-Based Evolutionary Many-Objective Optimization AlgorithmsLei Chen, Kalyanmoy Deb, Hai-Lin Liu 0001, Qingfu Zhang 0001. ec, 29(1):157-186, 2021. [doi]

Visualization-based Multi-Criterion Decision Making with NIMBUS Method Using Palette VizKalyanmoy Deb, A. K. M. Khaled Ahsan Talukder. ssci 2021: 1-8 [doi]

Evolutionary multi- and many-objective optimization: methodologies, applications and demonstrationKalyanmoy Deb, Julian Blank. gecco 2021: 740-769 [doi]

Embedding a Repair Operator in Evolutionary Single and Multi-objective Algorithms - An Exploitation-Exploration PerspectiveKalyanmoy Deb, Sukrit Mittal, Dhish Kumar Saxena, Erik D. Goodman. emo 2021: 89-101 [doi]

Interpretable Rule Discovery Through Bilevel Optimization of Split-Rules of Nonlinear Decision Trees for Classification ProblemsYashesh D. Dhebar, Kalyanmoy Deb. tcyb, 51(11):5573-5584, 2021. [doi]

An approximate MIP-DoM calculation for multi-objective optimization using affinity propagation clustering algorithmClaudio Lucio do Val Lopes, Flávio V. C. Martins, Elizabeth F. Wanner, Kalyanmoy Deb. gecco 2021: 185-186 [doi]

Combining User Knowledge and Online Innovization for Faster Solution to Multi-objective Design Optimization ProblemsAbhiroop Ghosh, Kalyanmoy Deb, Ronald C. Averill, Erik D. Goodman. emo 2021: 102-114 [doi]

Interpretable AI Agent Through Nonlinear Decision Trees for Lane Change ProblemAbhiroop Ghosh, Yashesh D. Dhebar, Ritam Guha, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu 0001, H. Eric Tseng, Dimitar P. Filev. ssci 2021: 1-8 [doi]

A novel multi-objective model calibration method for ecohydrological applicationsJ. Sebastian Hernandez-Suarez, A. Pouyan Nejadhashemi, Kalyanmoy Deb. envsoft, 144:105161, 2021. [doi]

Optimized Electric Machine Design Solutions with Efficient Handling of ConstraintsBhuvan Khoshoo, Julian Blank, Thang Pham, Kalyanmoy Deb, Shanelle Foster. ssci 2021: 1-8 [doi]

Solving Mixed Pareto-Lexicographic Multiobjective Optimization Problems: The Case of Priority LevelsLeonardo Lai, Lorenzo Fiaschi, Marco Cococcioni, Kalyanmoy Deb. tec, 25(5):971-985, 2021. [doi]

Handling Priority Levels in Mixed Pareto-Lexicographic Many-Objective Optimization ProblemsLeonardo Lai, Lorenzo Fiaschi, Marco Cococcioni, Kalyanmoy Deb. emo 2021: 362-374 [doi]

Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image ClassificationZhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti. tec, 25(2):277-291, 2021. [doi]

Neural Architecture TransferZhichao Lu, Gautam Sreekumar, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti. pami, 43(9):2971-2989, 2021. [doi]

Online clustering reduction based on parametric and non-parametric correlation for a many-objective vehicle routing problem with demand responsive transportRenan Santos Mendes, Victoria Lush, Elizabeth F. Wanner, Flávio V. C. Martins, Joao F. M. Sarubbi, Kalyanmoy Deb. eswa, 170:114467, 2021. [doi]

Aggregation or Selection? Clustering Many Objectives for Vehicle Routing Problem with Demand Responsive TransportRenan Santos Mendes, Elizabeth F. Wanner, Flávio V. C. Martins, Kalyanmoy Deb. cec 2021: 1257-1264 [doi]

Interpretable Self-Organizing Maps (iSOM) for Visualization of Pareto Front in Multiple Objective OptimizationDeepak Nagar, Palaniappan Ramu, Kalyanmoy Deb. emo 2021: 645-655 [doi]

Evolutionary Multi-Objective Optimization Algorithm for Community Detection in Complex Social NetworksTanveerulhuq Shaik, Vadlamani Ravi, Kalyanmoy Deb. sncs, 2(1):1, 2021. [doi]

Ensembled Crossover based Evolutionary Algorithm for Single and Multi-objective OptimizationShreya Sharma, Julian Blank, Kalyanmoy Deb, Bijaya Ketan Panigrahi. cec 2021: 1439-1446 [doi]

Multi-objective Coevolution and Decision-making for Cooperative and Competitive EnvironmentsAnirudh Suresh, Jaturong Kongmanee, Kalyanmoy Deb, Vishnu Naresh Boddeti. cec 2021: 1601-1608 [doi]

Towards Multi-objective Co-evolutionary Problem SolvingAnirudh Suresh, Kalyanmoy Deb, Vishnu Naresh Boddeti. emo 2021: 139-151 [doi]

An improved visual analytics framework for high-dimensional pareto-optimal front: a case for multi-objective portfolio optimizationA. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb. jbft, 5(2):105-115, 2021. [doi]

A new gradient free local search mechanism for constrained multi-objective optimization problemsLourdes Uribe, Adriana Lara, Kalyanmoy Deb, Oliver Schütze. swevo, 67:100938, 2021. [doi]

Solving the maximum edge disjoint path problem using a modified Lagrangian particle swarm optimisation hybridJake Weiner, Andreas T. Ernst, Xiaodong Li 0001, Yuan Sun 0003, Kalyanmoy Deb. eor, 293(3):847-862, 2021. [doi]

The (M-1)+1 Framework of Relaxed Pareto Dominance for Evolutionary Many-Objective OptimizationShuwei Zhu, Lihong Xu, Erik D. Goodman, Kalyanmoy Deb, Zhichao Lu. emo 2021: 349-361 [doi]

2020

Bilevel optimization based on iterative approximation of multiple mappingsAnkur Sinha 0001, Zhichao Lu, Kalyanmoy Deb, Pekka Malo. heuristics, 26(2):151-185, 2020. [doi]

Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multiobjective Optimization Using Reference PointsKe Li 0001, Minhui Liao, Kalyanmoy Deb, Geyong Min, Xin Yao 0001. tec, 24(6):1078-1096, 2020. [doi]

A smooth proximity measure for optimality in multi-objective optimization using Benson's methodMohamed Abouhawwash, Mohamed A. Jameel, Kalyanmoy Deb. cor, 117:104900, 2020. [doi]

Towards sustainable forest management strategies with MOEAsPhilipp Back, Antti Suominen, Pekka Malo, Olli Tahvonen, Julian Blank, Kalyanmoy Deb. gecco 2020: 1046-1054 [doi]

Energy-aware whale optimization algorithm for real-time task scheduling in multiprocessor systemsMohamed Abdel Basset, Doaa El-Shahat, Kalyanmoy Deb, Mohamed Abouhawwash. asc, 93:106349, 2020. [doi]

Pymoo: Multi-Objective Optimization in PythonJulian Blank, Kalyanmoy Deb. access, 8:89497-89509, 2020. [doi]

A Running Performance Metric and Termination Criterion for Evaluating Evolutionary Multi- and Many-objective Optimization AlgorithmsJulian Blank, Kalyanmoy Deb. cec 2020: 1-8 [doi]

Evolutionary multi-objective optimization: past, present and futureKalyanmoy Deb. gecco 2020: 343-372 [doi]

Rise of Evolutionary Multi-Objective Optimization: Algorithms and ApplicationsKalyanmoy Deb. ijcci 2020: 9

Evaluating Nonlinear Decision Trees for Binary Classification Tasks with Other Existing MethodsYashesh D. Dhebar, Sparsh Gupta, Kalyanmoy Deb. ssci 2020: 2806-2813 [doi]

Difficulty Adjustable and Scalable Constrained Multiobjective Test Problem ToolkitZhun Fan, Wenji Li, Xinye Cai, Hui Li 0020, Caimin Wei, Qingfu Zhang 0001, Kalyanmoy Deb, Erik D. Goodman. ec, 28(3):339-378, 2020. [doi]

A generic and computationally efficient automated innovization method for power-law design rulesKanish Garg, Anish Mukherjee, Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb. gecco 2020: 161-162 [doi]

A genetic algorithm with local search for solving single-source single-sink nonlinear non-convex minimum cost flow problemsBehrooz Ghasemishabankareh, Melih Ozlen, Xiaodong Li 0001, Kalyanmoy Deb. soco, 24(2):1153-1169, 2020. [doi]

A Large-scale Bi-objective Optimization of Solid Rocket Motors Using InnovizationAbhiroop Ghosh, Erik D. Goodman, Kalyanmoy Deb, Ronald C. Averill, Alejandro Diaz. cec 2020: 1-8 [doi]

MUXConv: Information Multiplexing in Convolutional Neural NetworksZhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti. cvpr 2020: 12041-12050 [doi]

NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract)Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti. IJCAI 2020: 4750-4754 [doi]

NSGANetV2: Evolutionary Multi-objective Surrogate-Assisted Neural Architecture SearchZhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti. eccv 2020: 35-51 [doi]

InnovizationSukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb. gecco 2020: 171-172 [doi]

A Unified Automated Innovization Framework Using Threshold-based ClusteringSukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb. cec 2020: 1-8 [doi]

Gap finding and validation in evolutionary multi- and many-objective optimizationPablo Valledor Pellicer, Miguel Iglesias Escudero, Silvino Fernández Alzueta, Kalyanmoy Deb. gecco 2020: 578-586 [doi]

A novel selection mechanism for evolutionary algorithms with metameric variable-length representationsMatt Ryerkerk, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman. soco, 24(21):16439-16452, 2020. [doi]

Investigating the equivalence between PBI and AASF scalarization for multi-objective optimizationHemant Kumar Singh, Kalyanmoy Deb. swevo, 53:100630, 2020. [doi]

Trend Mining 2.0: Automating the Discovery of Variable Trends in the Objective SpaceHenrik Smedberg, Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb. cec 2020: 1-8 [doi]

PaletteViz: A Visualization Method for Functional Understanding of High-Dimensional Pareto-Optimal Data-Sets to Aid Multi-Criteria Decision MakingA. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb. cim, 15(2):36-48, 2020. [doi]

PaletteStarViz: a visualization method for multi-criteria decision making from high-dimensional pareto-optimal frontA. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb. gecco 2020: 175-176 [doi]

PaletteViz with Star-coordinates: An Improved Method for High-dimensional Pareto-optimal Front Visualization and Decision-makingA. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb. ssci 2020: 2186-2193 [doi]

Using gradient-free local search within MOEAs for the treatment of constrained MOPsLourdes Uribe, Adriana Lara, Kalyanmoy Deb, Oliver Schütze. gecco 2020: 177-178 [doi]

Dynamic vessel-to-vessel routing using level-wise evolutionary optimizationYash Vesikar, Julian Blank, Kalyanmoy Deb, Markku Kalio, Alaleh Maskooki. gecco 2020: 295-296 [doi]

Worst-case conditional hardness and fast algorithms with random inputs for non-dominated sortingSorrachai Yingchareonthawornchai, Proteek Chandan Roy, Bundit Laekhanukit, Eric Torng, Kalyanmoy Deb. gecco 2020: 185-186 [doi]

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