Related references
Note: Only part of the references are listed.Evolutionary Algorithm Embedded With Bump-Hunting for Constrained Design Optimization
Kamrul Hasan Rahi et al.
JOURNAL OF MECHANICAL DESIGN (2021)
Surrogate-assisted classification-collaboration differential evolution for expensive constrained optimization problems
Zan Yang et al.
INFORMATION SCIENCES (2020)
A Random Forest-Assisted Evolutionary Algorithm for Data-Driven Constrained Multiobjective Combinatorial Optimization of Trauma Systems
Handing Wang et al.
IEEE TRANSACTIONS ON CYBERNETICS (2020)
Boosting Data-Driven Evolutionary Algorithm With Localized Data Generation
Jian-Yu Li et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2020)
A repository of real-world datasets for data-driven evolutionary multiobjective optimization
Cheng He et al.
COMPLEX & INTELLIGENT SYSTEMS (2020)
A Taxonomy for Metamodeling Frameworks for Evolutionary Multiobjective Optimization
Kalyanmoy Deb et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2019)
Global and Local Surrogate-Assisted Differential Evolution for Expensive Constrained Optimization Problems With Inequality Constraints
Yong Wang et al.
IEEE TRANSACTIONS ON CYBERNETICS (2019)
Data-Driven Evolutionary Optimization: An Overview and Case Studies
Yaochu Jin et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2019)
Investigating the use of sequencing and infeasibility driven strategies for constrained optimization
Kamrul Hasan Rahi et al.
2019 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) (2019)
On the use of genetic programming to evolve priority rules for resource constrained project scheduling problems
Shelvin Chand et al.
INFORMATION SCIENCES (2018)
Accelerated Random Search for constrained global optimization assisted by Radial Basis Function surrogates
Luigi Nunez et al.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS (2018)
Constraint-handling techniques in surrogate-assisted evolutionary optimization. An empirical study
Mariana-Edith Miranda-Varela et al.
APPLIED SOFT COMPUTING (2018)
A Batch Infill Strategy for Computationally Expensive Optimization Problems
Ahsanul Habib et al.
ARTIFICIAL LIFE AND COMPUTATIONAL INTELLIGENCE, ACALCI 2017 (2017)
Multi-Objective Optimization With Multiple Spatially Distributed Surrogates
Kalyan Shankar Bhattacharjee et al.
JOURNAL OF MECHANICAL DESIGN (2016)
Incorporating Objective Function Information Into the Feasibility Rule for Constrained Evolutionary Optimization
Yong Wang et al.
IEEE TRANSACTIONS ON CYBERNETICS (2016)
Use of Infeasible Solutions During Constrained Evolutionary Search: A Short Survey
Hemant Kumar Singh et al.
ARTIFICIAL LIFE AND COMPUTATIONAL INTELLIGENCE, ACALCI 2016 (2016)
An Improved Self-Adaptive Constraint Sequencing approach for constrained optimization problems
Md Asafuddoula et al.
APPLIED MATHEMATICS AND COMPUTATION (2015)
A differential evolution algorithm with constraint sequencing: An efficient approach for problems with inequality constraints
Md Asafuddoula et al.
APPLIED SOFT COMPUTING (2015)
Constrained optimization by radial basis function interpolation for high-dimensional expensive black-box problems with infeasible initial points
Rommel G. Regis
ENGINEERING OPTIMIZATION (2014)
Evolutionary Programming for High-Dimensional Constrained Expensive Black-Box Optimization Using Radial Basis Functions
Rommel G. Regis
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2014)
Combining radial basis function surrogates and dynamic coordinate search in high-dimensional expensive black-box optimization
Rommel G. Regis et al.
ENGINEERING OPTIMIZATION (2013)
Combining Multiobjective Optimization with Differential Evolution to Solve Constrained Optimization Problems
Yong Wang et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2012)
Stochastic radial basis function algorithms for large-scale optimization involving expensive black-box objective and constraint functions
Rommel G. Regis
COMPUTERS & OPERATIONS RESEARCH (2011)
Surrogate-assisted evolutionary computation: Recent advances and future challenges
Yaochu Jin
SWARM AND EVOLUTIONARY COMPUTATION (2011)
Constraint-handling in nature-inspired numerical optimization: Past, present and future
Efren Mezura-Montes et al.
SWARM AND EVOLUTIONARY COMPUTATION (2011)
Recent advances in surrogate-based optimization
Alexander I.J. Forrester et al.
PROGRESS IN AEROSPACE SCIENCES (2009)
Ensemble of metamodels with optimized weight factors
E. Acar et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2009)
Multiple surrogates: how cross-validation errors can help us to obtain the best predictor
Felipe A. C. Viana et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2009)
Review of metamodeling techniques in support of engineering design optimization
G. Gary Wang et al.
JOURNAL OF MECHANICAL DESIGN (2007)
Treating constraints as objectives in multiobjective optimization problems using niched pareto genetic algorithm
DAG Vieira et al.
IEEE TRANSACTIONS ON MAGNETICS (2004)
A fast and elitist multiobjective genetic algorithm: NSGA-II
K Deb et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)
Benchmarking optimization software with performance profiles
ED Dolan et al.
MATHEMATICAL PROGRAMMING (2002)
An efficient constraint handling method for genetic algorithms
K Deb
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2000)
Share Paper
