Search Results - mixed-integer nonlinear programming problems

The Power of Gradient-Based Repair Across Evolutionary Algorithms for Constrained Mixed-Integer Nonlinear Programming Problems

Authors: Daniel Molina-Pérez Edgar Portilla-Flores Efrén Mezura-Montes et al.

Hybrid improved sine cosine algorithm for mixed-integer nonlinear programming problems

Authors: Haohao Song Jiquan Wang Zhiwen Cheng et al.

Source: Soft Computing. 27:14909-14933

A Bayesian optimization approach for data‐driven mixed‐integer nonlinear programming problems

Authors: Javier Morlet‐Espinosa Antonio Flores‐Tlacuahuac

Source: AIChE Journal. 70

Subject Terms: 0103 physical sciences, 02 engineering and technology, 0204 chemical engineering, 01 natural sciences

Efficiently handling constraints in mixed-integer nonlinear programming problems using gradient-based repair differential evolution

Authors: Daniel Molina-Pérez Edgar Alfredo Portilla-Flores Efrén Mezura-Montes et al.

Source: PeerJ Comput Sci
PeerJ Computer Science, Vol 10, p e2095 (2024)

Subject Terms: 0211 other engineering and technologies, Geometry, Set (abstract data type), 02 engineering and technology, Quantum mechanics, MINLP problems, Context (archaeology), Artificial Intelligence, Nonlinear programming, Gradient-based repair method, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Integer constraint handling, Swarm Intelligence Optimization Algorithms, Constraint (computer-aided design), Optimization problem, Biology, Numerical Analysis, Nonlinear Programming, Numerical Optimization Techniques, Semidefinite Programming, Geography, Physics, Mathematical optimization, Paleontology, Integer programming, QA75.5-76.95, Computer science, Programming language, Algorithm, Real-world optimization, Algorithms and Analysis of Algorithms, Computational Theory and Mathematics, Electronic computers. Computer science, Computer Science, Physical Sciences, Nonlinear system, Integer (computer science), Benchmark (surveying), Differential evolution, Multiobjective Optimization in Evolutionary Algorithms, Mathematics, Geodesy, Mixed-Integer Nonlinear Programs

Access URL: https://pubmed.ncbi.nlm.nih.gov/38855217
https://doaj.org/article/b4672e7302604e8197466f1d7cae3375

An improved Estimation of Distribution Algorithm for Solving Constrained Mixed-Integer Nonlinear Programming Problems

Authors: Daniel Molina Perez Edgar Alfredo Portilla-Flores Efren Mezura-Montes et al.

Source: 2022 IEEE Congress on Evolutionary Computation (CEC). :01-08

Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Overview on mixed integer nonlinear programming problems

Authors: Fernandes, Florbela P. Costa, M. Fernanda P. Fernandes, Edite Manuela da G. P. et al.

Contributors: Fernandes, Florbela P. Costa, M. Fernanda P. Fernandes, Edite Manuela da G. P. et al.

Subject Terms: Mixed-integer nonlinear, Branch-and-bound, Outer-approximation, mixed-integer nonlinear programs

File Description: application/pdf

Relation: 978-0-7354-0705-3; 0094-243X

Availability: https://hdl.handle.net/1822/9676

Branch and bound based coordinate search filter algorithm for nonsmooth nonconvex mixed-integer nonlinear programming problems

Authors: Fernandes, Florbela P. Costa, M. Fernanda P. Fernandes, Edite Manuela da G. P. et al.

Contributors: Fernandes, Florbela P. Costa, M. Fernanda P. Fernandes, Edite Manuela da G. P. et al.

Subject Terms: Nonconvex MINLP, Branch and bound, Multistart, Coordinate search, Filter method

File Description: application/pdf

Relation: 9783319091280; 0302-9743

Availability: https://hdl.handle.net/1822/32821

An Improved Estimation of Distribution Algorithm for Mixed-Integer Nonlinear Programming Problems: EDAIImv

Authors: Daniel Molina-Pérez Efren Mezura-Montes Edgar Alfredo Portilla-Flores et al.

Source: Computación y Sistemas. 27

Feasible Path-Based Branch and Bound Algorithm for Highly Nonconvex Mixed-Integer Nonlinear Programming Problems

Authors: Chao Liu Yingjie Ma Dongda Zhang et al.

Source: Chemical Engineering Transactions, Vol 94 (2022)

Subject Terms: TK7885-7895, Computer engineering. Computer hardware, Chemical engineering, TP155-156

Access URL: https://doaj.org/article/38fbbe8c69ca48a08402dc5172b3298c

On Solving Nonsmooth Mixed-Integer Nonlinear Programming Problems by Outer Approximation and Generalized Benders Decomposition

Authors: Jen-Chih Yao Liang Xu M. Montaz Ali et al.

Source: Journal of Optimization Theory and Applications. 181:840-863

Subject Terms: 0211 other engineering and technologies, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Development of a Bi-Objective Optimisation Framework for Mixed-Integer Nonlinear Programming Problems and Application to Molecular Design

Source: Computer Aided Chemical Engineering ISBN: 9780323851596

Learning to deactivate probing with graph convolutional network for mixed-integer nonlinear programming

Authors: Yi Zhang Nikolaos V. Sahinidis

Source: Optimization Letters.

A differential evolution algorithm for solving mixed-integer nonlinear programming problems

Authors: Daniel Molina-Pérez Efrén Mezura-Montes Edgar Alfredo Portilla-Flores et al.

Source: Swarm and Evolutionary Computation. 84:101427

Homotopy Continuation Enhanced Branch and Bound Algorithms for Strongly Nonconvex Mixed-Integer Nonlinear Programming Problems

Authors: Ma, Yingjie Li, Jie

Subject Terms: Optimization and Control (math.OC), 0211 other engineering and technologies, FOS: Mathematics, 02 engineering and technology, 0204 chemical engineering, Mathematics - Optimization and Control

Access URL: http://arxiv.org/abs/2109.07379

Exploiting integrality in the global optimization of mixed-integer nonlinear programming problems with BARON

Authors: Mustafa R. Kılınç Nikolaos V. Sahinidis

Source: Optimization Methods and Software. 33:540-562

Subject Terms: 0211 other engineering and technologies, 02 engineering and technology, 0204 chemical engineering, 16. Peace & justice

Access URL: https://www.tandfonline.com/doi/full/10.1080/10556788.2017.1350178
https://doi.org/10.1080/10556788.2017.1350178
https://dblp.uni-trier.de/db/journals/oms/oms33.html#KilincS18

An Efficient Modified Particle Swarm Optimization Algorithm for Solving Mixed-Integer Nonlinear Programming Problems

Authors: Ying Sun Yuelin Gao

Source: International Journal of Computational Intelligence Systems, Vol 12, Iss 2 (2019)

Subject Terms: Particle swarm optimization, Mixed-integer nonlinear programming, Constrained optimization, Simulated annealing, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://www.atlantis-press.com/article/125905881/view; https://doaj.org/toc/1875-6883

Access URL: https://doaj.org/article/8438e85dd91243aca0d0cb75af067d6d

A trajectory-based method for mixed integer nonlinear programming problems

Authors: M. Montaz Ali Terry-Leigh Oliphant

Source: Journal of Global Optimization. 70:601-623

Subject Terms: 0211 other engineering and technologies, 02 engineering and technology, 0204 chemical engineering

Access URL: https://ideas.repec.org/a/spr/jglopt/v70y2018i3d10.1007_s10898-017-0570-5.html
https://dblp.uni-trier.de/db/journals/jgo/jgo70.html#OliphantA18
https://link.springer.com/article/10.1007/s10898-017-0570-5

Method for solving generalized convex nonsmooth mixed-integer nonlinear programming problems

Authors: Ville-Pekka Eronen Jan Kronqvist Tapio Westerlund et al.

Source: Journal of Global Optimization. 69:443-459

Subject Terms: ta111, 0211 other engineering and technologies, 02 engineering and technology

Access URL: https://link.springer.com/article/10.1007/s10898-017-0528-7
https://dblp.uni-trier.de/db/journals/jgo/jgo69.html#EronenKWMK17

A Bayesian optimization approach for data‐driven mixed‐integer nonlinear programming problems.

Authors: Morlet‐Espinosa, Javier Flores‐Tlacuahuac, Antonio

Source: AIChE Journal; Sep2024, Vol. 70 Issue 9, p1-24, 24p

Subject Terms: NONLINEAR programming, MATHEMATICAL optimization, NONLINEAR equations, INTEGER programming, ARTIFICIAL intelligence

Efficiently handling constraints in mixed-integer nonlinear programming problems using gradient-based repair differential evolution.

Authors: Molina-Pérez, Daniel Portilla-Flores, Edgar Alfredo Mezura-Montes, Efrén et al.

Source: PeerJ Computer Science; May2024, p1-35, 35p

Subject Terms: NONLINEAR programming, DIFFERENTIAL evolution, NONLINEAR equations, EVOLUTIONARY algorithms, BENCHMARK problems (Computer science), INTEGER programming, REPAIRING