Duro, João A.
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1

A Scalable Test Suite for Bi-objective Multidisciplinary Op..:

, In: Lecture Notes in Computer Science; Evolutionary Multi-Criterion Optimization,
 
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2

Methods for constrained optimization of expensive mixed-int..:

Duro, João A. ; Ozturk, Umud Esat ; Oara, Daniel C....
European Journal of Operational Research.  307 (2023)  1 - p. 421-446 , 2023
 
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3

A distributed multi-disciplinary design optimization benchm..:

, In: Proceedings of the Companion Conference on Genetic and Evolutionary Computation,
 
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4

Toward scalable benchmark problems for multi-objective mult..:

, In: 2022 IEEE Symposium Series on Computational Intelligence (SSCI),
 
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5

Component-based design of multi-objective evolutionary algo..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Duro, João A. ; Oara, Daniel C. ; Sriwastava, Ambuj K.... - p. 1531-1539 , 2021
 
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7

sParEGO – A Hybrid Optimization Algorithm for Expensive Unc..:

, In: Lecture Notes in Computer Science; Evolutionary Multi-Criterion Optimization,
 
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8

Collaborative multi-objective optimization for distributed ..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,
 
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9

Entropy-Based Termination Criterion for Multiobjective Evol..:

Saxena, Dhish Kumar ; Sinha, Arnab ; Duro, Joao A..
IEEE Transactions on Evolutionary Computation.  20 (2016)  4 - p. 485-498 , 2016
 
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10

Multi-sensor data fusion framework for CNC machining monito..:

Duro, João A. ; Padget, Julian A. ; Bowen, Chris R...
Mechanical Systems and Signal Processing.  66-67 (2016)  - p. 505-520 , 2016
 
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14

Methods for constrained optimization of expensive mixed-int..:

Duro, Joao A ; Ozturk, Umud Esat ; Oura, Daniel C...
Duro , J A , Ozturk , U E , Oura , D C , Salomon , S , Lygoe , R J , Burke , R & Purhouse , R C 2023 , ' Methods for constrained optimization of expensive mixed-integer multi-objective problems, with application to an internal combustion engine design problem ' , European Journal of Operational Research , vol. 307 , no. 1 , pp. 421-446 . https://doi.org/10.1016/j.ejor.2022.08.032.  , 2023
 
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