Hyper-volume evolutionary algorithm
We propose a multi-objective evolutionary algorithm (MOEA), named the Hyper-volume Evolutionary Algorithm (HVEA). The algorithm is characterised by three components. First, individual fitness evaluation depends on the current Pareto front, specifically on the ratio of its dominated hyper-volume to t...
| Main Authors: | Le, Khoi Nguyen, Landa-Silva, Dario |
|---|---|
| Format: | Article |
| Published: |
Vietnam National University
2016
|
| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/35586/ |
Similar Items
A multi-objective hyper-heuristic based on choice function
by: Maashi, Mashael, et al.
Published: (2014)
by: Maashi, Mashael, et al.
Published: (2014)
A study of evolutionary multiobjective algorithms and their application to knapsack and nurse scheduling problems
by: Le, Khoi Nguyen
Published: (2011)
by: Le, Khoi Nguyen
Published: (2011)
Crossover control in selection hyper-heuristics: case studies using MKP and HyFlex
by: Drake, John H.
Published: (2014)
by: Drake, John H.
Published: (2014)
Hyper-heuristic approaches to automatically designing heuristics as mutation operators for evolutionary programming on function classes
by: Hong, Libin
Published: (2018)
by: Hong, Libin
Published: (2018)
Choice function based hyper-heuristics for multi-objective optimization
by: Özcan, Ender
Published: (2015)
by: Özcan, Ender
Published: (2015)
A hyper-heuristic approach to automated generation of mutation operators for evolutionary programming
by: Hong, Libin, et al.
Published: (2017)
by: Hong, Libin, et al.
Published: (2017)
Nature of real-world multi-objective vehicle routing with evolutionary algorithms
by: Castro-Gutierrez, Juan, et al.
Published: (2011)
by: Castro-Gutierrez, Juan, et al.
Published: (2011)
A genetic programming hyper-heuristic for the multidimensional knapsack problem
by: Drake, John H., et al.
Published: (2014)
by: Drake, John H., et al.
Published: (2014)
A case study of controlling crossover in a selection hyper-heuristic framework using the multidimensional knapsack problem
by: Drake, John H., et al.
Published: (2015)
by: Drake, John H., et al.
Published: (2015)
Algorithms for some hard knapsack problems
by: Kulanoot, Araya
Published: (2000)
by: Kulanoot, Araya
Published: (2000)
Analysis of objectives relationships in multiobjective problems using trade-off region maps
by: Pinheiro, Rodrigo L., et al.
Published: (2015)
by: Pinheiro, Rodrigo L., et al.
Published: (2015)
Optimal sizing of standalone hybrid energy system using a novel multi-objective evolutionary algorithm
by: Basarudin, Hanim
Published: (2020)
by: Basarudin, Hanim
Published: (2020)
Modified choice function heuristic selection for the multidimensional knapsack problem
by: Drake, John H., et al.
Published: (2014)
by: Drake, John H., et al.
Published: (2014)
The cross-entropy method in multi-objective optimisation: An assessment
by: Bekker, J., et al.
Published: (2011)
by: Bekker, J., et al.
Published: (2011)
Multi-objective evolutionary algorithms and hyper-heuristics for wind farm layout optimisation
by: Li, Wenwen, et al.
Published: (2017)
by: Li, Wenwen, et al.
Published: (2017)
Multi-stage hyper-heuristics for optimisation problems
by: Kheiri, Ahmed
Published: (2014)
by: Kheiri, Ahmed
Published: (2014)
Metaheuristic and Multiobjective Approaches for Space Allocation
by: Landa Silva, Jesus Dario
Published: (2003)
by: Landa Silva, Jesus Dario
Published: (2003)
Evolutionary approaches for portfolio optimization
by: Lwin, Khin Thein
Published: (2015)
by: Lwin, Khin Thein
Published: (2015)
An improved MOEA/D algorithm for multi-objective multicast routing with network coding
by: Xing, Huanlai, et al.
Published: (2017)
by: Xing, Huanlai, et al.
Published: (2017)
A hybrid evolutionary approach to the nurse rostering problem
by: Bai, Ruibin, et al.
Published: (2010)
by: Bai, Ruibin, et al.
Published: (2010)
An evolutionary algorithm for graph planarisation by vertex deletion
by: Pinheiro, Rodrigo Lankaites, et al.
Published: (2014)
by: Pinheiro, Rodrigo Lankaites, et al.
Published: (2014)
Hyper-heuristics: a survey of the state of the art
by: Burke, Edmund, et al.
Published: (2013)
by: Burke, Edmund, et al.
Published: (2013)
Evolutionary multi-objective optimization algorithms with probabilistic representation based on pheromone trails
by: Li, Hui, et al.
Published: (2010)
by: Li, Hui, et al.
Published: (2010)
A learning automata based multiobjective hyper-heuristic
by: Li, Wenwen, et al.
Published: (2017)
by: Li, Wenwen, et al.
Published: (2017)
Mean-VaR portfolio optimization: a nonparametric approach
by: Lwin, Khin T., et al.
Published: (2017)
by: Lwin, Khin T., et al.
Published: (2017)
An adaptive evolutionary multi-objective approach based on simulated annealing
by: Li, Hui, et al.
Published: (2011)
by: Li, Hui, et al.
Published: (2011)
Hyper-heuristics for grouping problems
by: Elhag, Anas
Published: (2015)
by: Elhag, Anas
Published: (2015)
An efficient application of goal programming to tackle multiobjective problems with recurring fitness landscapes
by: Pinheiro, Rodrigo Lankaites, et al.
Published: (2018)
by: Pinheiro, Rodrigo Lankaites, et al.
Published: (2018)
Suatu algoritma untuk penyelesaian masalah knapsack
by: Leow, Soo Kar
Published: (1988)
by: Leow, Soo Kar
Published: (1988)
A hyper-heuristic with two guidance indicators for bi-objective mixed-shift vehicle routing problem with time windows
by: Chen, Binhui, et al.
Published: (2018)
by: Chen, Binhui, et al.
Published: (2018)
A hyper-heuristic with two guidance indicators for bi-objective mixed-shift vehicle routing problem with time windows
by: Chen, Binhui, et al.
Published: (2018)
by: Chen, Binhui, et al.
Published: (2018)
Evolutionary local search for solving the office space allocation problem
by: Ulker, Ozgur, et al.
Published: (2012)
by: Ulker, Ozgur, et al.
Published: (2012)
A stochastic programming model for an energy planning problem: formulation, solution method and application
by: Irawan, Chandra Ade, et al.
Published: (2021)
by: Irawan, Chandra Ade, et al.
Published: (2021)
Detecting change and dealing with uncertainty in imperfect evolutionary environments
by: Mujtaba, Hasan, et al.
Published: (2015)
by: Mujtaba, Hasan, et al.
Published: (2015)
Evolutionary computation for wind farm layout optimization
by: Wilson, Dennis, et al.
Published: (2018)
by: Wilson, Dennis, et al.
Published: (2018)
Cheating for problem solving: a genetic algorithm with social interactions
by: Lahoz-Beltra, Rafael, et al.
Published: (2009)
by: Lahoz-Beltra, Rafael, et al.
Published: (2009)
The automatic design of hyper-heuristic framework with gene expression programming for combinatorial optimization problems
by: Sabar, Nasar, et al.
Published: (2014)
by: Sabar, Nasar, et al.
Published: (2014)
Performance comparison of selection hyper-heuristics on new HyFlex domains
by: Almutairi, Alhanof Khalid S
Published: (2015)
by: Almutairi, Alhanof Khalid S
Published: (2015)
A dynamic multiarmed bandit-gene expression programming hyper-heuristic for combinatorial optimization problems
by: Sabar, Nasar R., et al.
Published: (2015)
by: Sabar, Nasar R., et al.
Published: (2015)
Evolutionary topology optimization using the extended finite element method and isolines
by: Abdi, Meisam, et al.
Published: (2014)
by: Abdi, Meisam, et al.
Published: (2014)
Similar Items
-
A multi-objective hyper-heuristic based on choice function
by: Maashi, Mashael, et al.
Published: (2014) -
A study of evolutionary multiobjective algorithms and their application to knapsack and nurse scheduling problems
by: Le, Khoi Nguyen
Published: (2011) -
Crossover control in selection hyper-heuristics: case studies using MKP and HyFlex
by: Drake, John H.
Published: (2014) -
Hyper-heuristic approaches to automatically designing heuristics as mutation operators for evolutionary programming on function classes
by: Hong, Libin
Published: (2018) -
Choice function based hyper-heuristics for multi-objective optimization
by: Özcan, Ender
Published: (2015)