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Viewing Publication 1 - 100 from 586

2026

Fifty years of multi-objective optimization and decision-making: From mathematical programming to evolutionary computationMatthias Ehrgott, Murat Köksalan, Milosz Kadzinski, Kalyanmoy Deb. eor, 330(1):1-25, 2026. [doi]

Multiobjective Competitive Co-Evolutionary Optimization and Regularity-Based Decision-Making for Two-Agent Wargame Strategy OptimizationRitam Guha, Ryan McKendrick, Bradley Feest, Kalyanmoy Deb. tec, 30(2):652-666, April 2026. [doi]

Gradual Innovative Transitional Solutions Improving Current to a Desired Target: Innovation PathAhmer Khan, Kalyanmoy Deb. tec, 30(1):378-392, February 2026. [doi]

A cooperative co-evolutionary algorithm with core-based grouping strategy for large-scale 0-1 knapsack problemsXiaotong Li, Shuwei Zhu, Wei Fang 0001, Kalyanmoy Deb. eswa, 298:129364, 2026. [doi]

HyBMSearch: A fast multi-Level search algorithm delivering order-of-Magnitude speedups on multi-Billion datasetsShashank Raj, Kalyanmoy Deb. jpdc, 211:105226, 2026. [doi]

Handling of objectives and constraints with heterogeneous evaluation times for surrogate-assisted evolutionary multi- and many-objective optimizationBalija Santoshkumar, Kalyanmoy Deb. swevo, 100:102260, 2026. [doi]

Handling Objectives With Heterogeneous Evaluation Times in Surrogate-Assisted Evolutionary Multiobjective OptimizationBalija Santoshkumar, Kalyanmoy Deb. tec, 30(2):564-578, April 2026. [doi]

2025

Finding Multiple Alternate Solutions Using Evolutionary Multi-Objective OptimizationKalyanmoy Deb, Ritam Guha. cec 2025: 1-8 [doi]

Machine Learning Assisted Evolutionary Multi-objective OptimizationKalyanmoy Deb, Dhish Kumar Saxena, Sukrit Mittal. gecco 2025: 1025-1041 [doi]

Beyond Performance: Designing a Super-Resolution Architecture Search Space and a Hybrid Multi-Objective Approach for Neural Architecture OptimizationJesús Leopoldo Llano García, Raúl Monroy, Víctor Adrián Sosa-Hernández, Kalyanmoy Deb. access, 13:107187-107203, 2025. [doi]

Progressive Surrogate Modeling for a Multi-objective Competitive Co-evolutionary (MoCCoEv) Wargame Strategy OptimizationRitam Guha, Ryan McKendrick, Bradley Feest, Kalyanmoy Deb. cec 2025: 1-4 [doi]

A Multi-objective Competitive Co-evolutionary Framework with Progressive Shrinking for Wargame ScenariosRitam Guha, Ryan McKendrick, Bradley Feest, Kalyanmoy Deb. emo 2025: 288-302 [doi]

Dynamic performance evaluation of evolutionary multi-objective optimization algorithms for gait cycle optimization of a 25-DOFs NAO humanoid robotPushpendra Gupta, Dilip Kumar Pratihar, Kalyanmoy Deb. swevo, 99:102144, 2025. [doi]

Towards an Efficient Innovation Path Seeking Algorithm Using Directed DominationAhmer Khan, Kalyanmoy Deb. emo 2025: 3-16 [doi]

Hierarchical Convergence to Multiple Alternate Solutions: Population versus Point-based AlgorithmsAhmer Khan, Kalyanmoy Deb. gecco 2025: 563-566 [doi]

Effects of many conflicting objectives on decision-makers' cognitive burden and decision consistencyJ. Matias Kivikangas, Eeva Vilkkumaa, Julian Blank, Ville J. Harjunen, Pekka Malo, Kalyanmoy Deb, Niklas Ravaja, Jyrki Wallenius. eor, 322(1):182-197, 2025. [doi]

MaNSGA-II: Many-Objective NSGA-IILie Meng Pang, Hisao Ishibuchi, Kalyanmoy Deb, Ke Shang 0004. tetci, 9(6):3922-3937, December 2025. [doi]

Next-generation techniques for parameter reduction for BMP multiobjective optimization in watershed planningHoda S. Razavi, Gregorio Toscano, A. Pouyan Nejadhashemi, Kalyanmoy Deb, Lewis C. Linker. envsoft, 193:106651, 2025. [doi]

Numerical Global Optimization Competition on GNBG-II generated Test SuiteRohit Salgotra, Amir H. Gandomi, Kalyanmoy Deb. gecco 2025: 107-108 [doi]

A Mixed-Fidelity Evaluation Algorithm for Efficient Constrained Multi- and Many-Objective Optimization: First ResultsBalija Santoshkumar, Kalyanmoy Deb. emo 2025: 147-162 [doi]

Addressing Heterogeneous Evaluation Times in Constrained Multi-Objective Optimization using a Mixed-Fidelity Evaluation Technique: Proof-of-Concept ResultsBalija Santoshkumar, Kalyanmoy Deb. gecco 2025: 645-653 [doi]

A directed batch growing self-organizing map based niching differential evolution for multimodal optimization problemsMahesh Shankar, Palaniappan Ramu, Kalyanmoy Deb. asc, 172:112862, 2025. [doi]

An adaptive weight optimization algorithm based on decision variable grouping for large-scale multi-objective optimization problemsHao Wang, Shuwei Zhu, Wei Fang 0001, Kalyanmoy Deb. swevo, 99:102149, 2025. [doi]

Handling objective preference and variable uncertainty in evolutionary multi-objective optimizationDeepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb. swevo, 94:101860, 2025. [doi]

Machine Learning-Assisted Constraint Handling Under Variable Uncertainty for Preference-based Multi-Objective OptimizationDeepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb. gecco 2025: 508-516 [doi]

Reliability-Based MCDM Using Objective Preferences Under Variable UncertaintyDeepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb. emo 2025: 225-240 [doi]

Ranking-prediction based evolutionary algorithm for expensive many-objective optimization problemsYimo Zhang, Shuwei Zhu, Wei Fang 0001, Kalyanmoy Deb, Meiji Cui. gecco 2025: 703-706 [doi]

Regression and relation-assisted evolutionary algorithm for high-dimensional expensive multi-objective optimizationShuwei Zhu, Yimo Zhang, Wei Fang 0001, Meiji Cui, Kalyanmoy Deb. swevo, 97:101978, 2025. [doi]

2024

Parallel multi-objective optimization for expensive and inexpensive objectives and constraintsRoy de Winter, Bas Milatz, Julian Blank, Niki van Stein, Thomas Bäck, Kalyanmoy Deb. swevo, 86:101508, 2024. [doi]

Hot off the Press: Parallel Multi-Objective Optimization for Expensive and Inexpensive Objectives and ConstraintsRoy de Winter, Bas Milatz, Julian Blank, Niki van Stein, Thomas Bäck, Kalyanmoy Deb. gecco 2024: 31-32 [doi]

Leveraging innovization and transfer learning to optimize best management practices in large-scale watershed managementKalyanmoy Deb, A. Pouyan Nejadhashemi, Gregorio Toscano, Hoda Razavi, Lewis C. Linker. envsoft, 180:106161, 2024. [doi]

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]

Evolutionary Bilevel Optimization: Algorithms and ApplicationsKalyanmoy Deb, Ankur Sinha 0001. gecco 2024: 1284-1312 [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]

Compromising Pareto-Optimality With Regularity in Platform-Based Multiobjective OptimizationRitam Guha, Kalyanmoy Deb. tec, 28(6):1746-1760, December 2024. [doi]

Scalable Polynomial RegEM(a)O for Multi-lMany-objective Platform-based Design Optimization ProblemsRitam Guha, Kalyanmoy Deb. cec 2024: 1-8 [doi]

Attacker-Defender Strategy Optimization Using Multi-objective Competitive Co-EvolutionRitam Guha, Ryan McKendrick, Bradley Feest, Kalyanmoy Deb. ppsn 2024: 351-366 [doi]

Analysis and Optimization of Gait Cycle of 25-DOF NAO Robot Using Particle Swarm Optimization and Genetic AlgorithmsPushpendra Gupta, Dilip Kumar Pratihar, Kalyanmoy Deb. ijhr, 21(2), April 2024. [doi]

Innovation Path: Discovering an Ordered Set of Optimized Intermediate Solutions from an Existing to a Desired SolutionAhmer Khan, Kalyanmoy Deb. gecco 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]

A Unified Innovized Progress Operator for Performance Enhancement in Evolutionary Multi- and Many-Objective OptimizationSukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman. tec, 28(6):1605-1619, December 2024. [doi]

Large-Scale Multiobjective Optimization for Watershed Planning and AssessmentGregorio Toscano Pulido, Hoda Razavi, A. Pouyan Nejadhashemi, Kalyanmoy Deb, Lewis C. Linker. tsmc, 54(6):3471-3483, June 2024. [doi]

Surrogate-Assisted Multi-Objective Optimization for Handling Objectives with Heterogeneous Evaluation Times: Unconstrained ProblemsBalija Santoshkumar, Kalyanmoy Deb. cec 2024: 1-8 [doi]

Machine Learning Assisted Evolutionary Multi- and Many-Objective OptimizationDhish Kumar Saxena, Sukrit Mittal, Kalyanmoy Deb, Erik D. Goodman. Springer, 2024. [doi]

Machine Learning-Based Prediction of New Pareto-Optimal Solutions From Pseudo-WeightsAnirudh Suresh, Kalyanmoy Deb. tec, 28(5):1351-1365, October 2024. [doi]

On a Better Understanding of Unique Identifiers of Pareto Solutions for Multi-criterion Optimization, Visualization, and Decision-makingAnirudh Suresh, Kalyanmoy Deb. cec 2024: 1-8 [doi]

An Updated Performance Metric for Preference-Based Evolutionary Multi-Objective Optimization AlgorithmsDeepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb. gecco 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]

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

Key Issues in Real-World Applications of Many-Objective Optimisation and Decision AnalysisKalyanmoy Deb, Peter J. Fleming, Yaochu Jin, Kaisa Miettinen, Patrick M. Reed. In Dimo Brockhoff, Michael Emmerich 0001, Boris Naujoks, Robin C. Purshouse, editors, Many-Criteria Optimization and Decision Analysis: State-of-the-Art, Present Challenges, and Future Perspectives. Natural Computing Series, pages 29-57, Springer, 2023. [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]

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]

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]

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

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]

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]

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

Machine learning-based framework to cover optimal Pareto-front in many-objective optimizationAzam Asilian Bidgoli, Shahryar Rahnamayan, Mehmet Bilgehan Erdem, Zekiye Erdem, Amin Ibrahim, Kalyanmoy Deb, Ali Grami. comintsys, 8(6):5287-5308, 2022. [doi]

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]

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]

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]

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]

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]

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

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]

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]

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]

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]

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

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]

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]

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