| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A comparative study between artificial bee colony (ABC) algorithm and its variants on big data optimization
|
Aslan, Selcuk
|
|
|
|
2 |
p. 129-150
|
artikel
|
| 2 |
Active object recognition using hierarchical local-receptive-field-based extreme learning machine
|
Liu, Huaping
|
|
2017
|
|
2 |
p. 233-241
|
artikel
|
| 3 |
Adaptive multiobjective evolutionary algorithm for large-scale transformer ratio error estimation
|
Huang, Changwu
|
|
|
|
2 |
p. 237-251
|
artikel
|
| 4 |
A fitness approximation assisted competitive swarm optimizer for large scale expensive optimization problems
|
Sun, Chaoli
|
|
2016
|
|
2 |
p. 123-134
|
artikel
|
| 5 |
A framework for expensive many-objective optimization with Pareto-based bi-indicator infill sampling criterion
|
Song, Zhenshou
|
|
|
|
2 |
p. 179-191
|
artikel
|
| 6 |
A hybrid metaheuristic algorithm for generalized vertex cover problem
|
Hu, Shuli
|
|
2016
|
|
2 |
p. 165-176
|
artikel
|
| 7 |
A kernel extreme learning machine algorithm based on improved particle swam optimization
|
Lu, Huijuan
|
|
2016
|
|
2 |
p. 121-128
|
artikel
|
| 8 |
A knowledge learning and random pruning-based memetic algorithm for user route planning in bike-sharing system
|
Du, Ke-Jing
|
|
|
|
2 |
p. 259-279
|
artikel
|
| 9 |
A light-robust-optimization model and an effective memetic algorithm for an open vehicle routing problem under uncertain travel times
|
Sun, Liang
|
|
|
|
2 |
p. 149-167
|
artikel
|
| 10 |
A memetic algorithm based on multiple learning procedures for global optimal design of composite structures
|
António, Carlos Conceição
|
|
2014
|
|
2 |
p. 113-131
|
artikel
|
| 11 |
A memetic Differential Evolution approach in noisy optimization
|
Mininno, Ernesto
|
|
2009
|
|
2 |
p. 111-135
|
artikel
|
| 12 |
A motivational model based on artificial biological functions for the intelligent decision-making of social robots
|
Maroto-Gómez, Marcos
|
|
|
|
2 |
p. 237-257
|
artikel
|
| 13 |
A Multi-objective hybrid filter-wrapper evolutionary approach for feature selection
|
Hammami, Marwa
|
|
2018
|
|
2 |
p. 193-208
|
artikel
|
| 14 |
A multiobjective memetic algorithm for integrated process planning and scheduling problem in distributed heterogeneous manufacturing systems
|
Liu, Qihao
|
|
|
|
2 |
p. 193-209
|
artikel
|
| 15 |
An adaptive multiobjective evolutionary algorithm based on grid subspaces
|
Li, Linlin
|
|
|
|
2 |
p. 249-269
|
artikel
|
| 16 |
An algorithm development environment for problem-solving: software review
|
Chen, Xianshun
|
|
2012
|
|
2 |
p. 149-161
|
artikel
|
| 17 |
An algorithm portfolio for the dynamic maximal covering location problem
|
Calderín, Jenny Fajardo
|
|
2016
|
|
2 |
p. 141-151
|
artikel
|
| 18 |
An effective memetic algorithm for UAV routing and orientation under uncertain navigation environments
|
Xiang, Shang
|
|
|
|
2 |
p. 169-183
|
artikel
|
| 19 |
An effective multiobjective approach for hard partitional clustering
|
Prakash, Jay
|
|
2015
|
|
2 |
p. 93-104
|
artikel
|
| 20 |
An efficient bilevel differential evolution algorithm with adaptation of lower level population size and search radius
|
Wu, Lianghong
|
|
|
|
2 |
p. 227-247
|
artikel
|
| 21 |
An immune-inspired instance selection mechanism for supervised classification
|
Figueredo, Grazziela P.
|
|
2012
|
|
2 |
p. 135-147
|
artikel
|
| 22 |
An improved multi-objective learning automata and its application in VLSI circuit design
|
Sayyadi Shahraki, Najmeh
|
|
|
|
2 |
p. 115-128
|
artikel
|
| 23 |
An improved optimization method based on krill herd and artificial bee colony with information exchange
|
Wang, Heqi
|
|
2017
|
|
2 |
p. 177-198
|
artikel
|
| 24 |
A novel location-based DNA matching algorithm for hyperspectral image classification
|
Shang, Ronghua
|
|
2018
|
|
2 |
p. 175-191
|
artikel
|
| 25 |
A novel multi-objective memetic algorithm based on opposition-based self-adaptive differential evolution
|
Chong, J. K.
|
|
2015
|
|
2 |
p. 147-165
|
artikel
|
| 26 |
A novel non-dominated sorting genetic algorithm for solving the triple objective project scheduling problem
|
Peng, Wuliang
|
|
|
|
2 |
p. 271-284
|
artikel
|
| 27 |
A novel two-level particle swarm optimization approach for efficient multiple sequence alignment
|
Lalwani, Soniya
|
|
2015
|
|
2 |
p. 119-133
|
artikel
|
| 28 |
A predictive gradient strategy for multiobjective evolutionary algorithms in a fast changing environment
|
Koo, Wee Tat
|
|
2009
|
|
2 |
p. 87-110
|
artikel
|
| 29 |
A probability first memetic algorithm for the dynamic multiple-fault diagnosis problem with non-ideal tests
|
Yang, Huahui
|
|
|
|
2 |
p. 101-113
|
artikel
|
| 30 |
A proposition on memes and meta-memes in computing for higher-order learning
|
Meuth, Ryan
|
|
2009
|
|
2 |
p. 85-100
|
artikel
|
| 31 |
A single-solution–compact hybrid algorithm for continuous optimization
|
Khalfi, Souheila
|
|
|
|
2 |
p. 155-204
|
artikel
|
| 32 |
A survivable design of last mile communication networks using multi-objective genetic algorithms
|
Bui, Lam Thu
|
|
2016
|
|
2 |
p. 97-108
|
artikel
|
| 33 |
Cash management cost reduction using data mining to forecast cash demand and LP to optimize resources
|
Cardona, Laura
|
|
2012
|
|
2 |
p. 127-134
|
artikel
|
| 34 |
Cell state change dynamics in cellular automata
|
Iclănzan, David
|
|
2012
|
|
2 |
p. 131-139
|
artikel
|
| 35 |
Comment on paper “Multi-strategy ensemble evolutionary algorithm for dynamic multi-objective optimization” by Wang and Li
|
Vrugt, Jasper A.
|
|
2010
|
|
2 |
p. 161-162
|
artikel
|
| 36 |
Conditioning optimization of extreme learning machine by multitask beetle antennae swarm algorithm
|
Zhang, Xixian
|
|
|
|
2 |
p. 151-164
|
artikel
|
| 37 |
Constrained Multi-Objective Optimization with a Limited Budget of Function Evaluations
|
de Winter, Roy
|
|
|
|
2 |
p. 151-164
|
artikel
|
| 38 |
Decentralized and dynamic group formation of reconfigurable agents
|
Moritz, Ruby L. V.
|
|
2014
|
|
2 |
p. 77-91
|
artikel
|
| 39 |
Design of hybrid regrouping PSO–GA based sub-optimal networked control system with random packet losses
|
Pan, Indranil
|
|
2013
|
|
2 |
p. 141-153
|
artikel
|
| 40 |
Development of a multi-objective artificial tree (MOAT) algorithm and its application in acoustic metamaterials
|
Li, Qiqi
|
|
|
|
2 |
p. 165-184
|
artikel
|
| 41 |
Dynamic economic dispatch using Lbest-PSO with dynamically varying sub-swarms
|
Chowdhury, Arkabandhu
|
|
2014
|
|
2 |
p. 85-95
|
artikel
|
| 42 |
Dynamic function optimisation with hybridised extremal dynamics
|
Moser, Irene
|
|
2009
|
|
2 |
p. 137-148
|
artikel
|
| 43 |
Editorial
|
Lim, Meng-Hiot
|
|
2011
|
|
2 |
p. 145-146
|
artikel
|
| 44 |
Editorial
|
Lim, Meng-Hiot
|
|
2016
|
|
2 |
p. 83-84
|
artikel
|
| 45 |
Editorial
|
Lim, Meng-Hiot
|
|
2017
|
|
2 |
p. 89-90
|
artikel
|
| 46 |
Editorial
|
Lim, Meng-Hiot
|
|
2015
|
|
2 |
p. 75-76
|
artikel
|
| 47 |
Editorial
|
Lim, Meng-Hiot
|
|
2013
|
|
2 |
p. 81-82
|
artikel
|
| 48 |
Editorial
|
Lim, Meng-Hiot
|
|
2014
|
|
2 |
p. 75-76
|
artikel
|
| 49 |
Editorial
|
Alavi, Amir H.
|
|
2018
|
|
2 |
p. 121-122
|
artikel
|
| 50 |
Editorial
|
Lim, Meng-Hiot
|
|
2019
|
|
2 |
p. 109-110
|
artikel
|
| 51 |
Efficient automatically evolving convolutional neural network for image denoising
|
Wei, Fang
|
|
|
|
2 |
p. 219-235
|
artikel
|
| 52 |
Elastic parameter inversion problem based on brain storm optimization algorithm
|
Yan, Xuesong
|
|
2018
|
|
2 |
p. 143-153
|
artikel
|
| 53 |
Empirical and analytical study of many-objective optimization problems: analysing distribution of nondominated solutions and population size for scalability of randomized heuristics
|
Joshi, Ramprasad
|
|
2014
|
|
2 |
p. 133-145
|
artikel
|
| 54 |
Event-driven spiking neural networks with spike-based learning
|
Ning, Limiao
|
|
|
|
2 |
p. 205-217
|
artikel
|
| 55 |
Evolving multidimensional transformations for symbolic regression with M3GP
|
Muñoz, Luis
|
|
2018
|
|
2 |
p. 111-126
|
artikel
|
| 56 |
Extreme learning machine via free sparse transfer representation optimization
|
Li, Xiaodong
|
|
2016
|
|
2 |
p. 85-95
|
artikel
|
| 57 |
Fabrication of a resonant PEMC sensor using hybrid $$\upvarepsilon $$ε-constraint lexicographical ranking DE-MSBA with Jacobean approximation
|
Mohammadrezaei Nodeh, S.
|
|
2017
|
|
2 |
p. 209-231
|
artikel
|
| 58 |
Genetic algorithm with automatic termination and search space rotation
|
Ong, Bun Theang
|
|
2011
|
|
2 |
p. 111-127
|
artikel
|
| 59 |
GP-RARS: evolving controllers for the Robot Auto Racing Simulator
|
Shichel, Yehonatan
|
|
2011
|
|
2 |
p. 89-99
|
artikel
|
| 60 |
Guest editorial: Memetic Computing in the presence of uncertainties
|
Neri, Ferrante
|
|
2010
|
|
2 |
p. 85-86
|
artikel
|
| 61 |
Guest Editorial: Special issue on memetic algorithms with learning strategy
|
Wang, Ling
|
|
|
|
2 |
p. 147-148
|
artikel
|
| 62 |
Guest Editorial: Thematic Issue on “Memetic Algorithms: Theory and applications in OR/MS”
|
Alba, Enrique
|
|
2012
|
|
2 |
p. 87-88
|
artikel
|
| 63 |
Handling constrained multi-objective optimization problems with heterogeneous evaluation times: proof-of-principle results
|
Blank, Julian
|
|
|
|
2 |
p. 135-150
|
artikel
|
| 64 |
Hybrid multi-objective cuckoo search with dynamical local search
|
Zhang, Maoqing
|
|
2017
|
|
2 |
p. 199-208
|
artikel
|
| 65 |
Integrated production and distribution scheduling in distributed hybrid flow shops
|
Qin, Hu
|
|
|
|
2 |
p. 185-202
|
artikel
|
| 66 |
Integrated scheduling problem for earth observation satellites based on three modeling frameworks: an adaptive bi-objective memetic algorithm
|
Chang, Zhongxiang
|
|
|
|
2 |
p. 203-226
|
artikel
|
| 67 |
Integrating memetic search into the BioHEL evolutionary learning system for large-scale datasets
|
Calian, Dan Andrei
|
|
2013
|
|
2 |
p. 95-130
|
artikel
|
| 68 |
Making and breaking power laws in evolutionary algorithm population dynamics
|
Whitacre, James M.
|
|
2009
|
|
2 |
p. 125-137
|
artikel
|
| 69 |
Manifold construction based on local distance invariance
|
Cheng, Wei-Chen
|
|
2010
|
|
2 |
p. 149-160
|
artikel
|
| 70 |
Manifold construction based on local distance invariance
|
Cheng, Wei-Chen
|
|
|
|
2 |
p. 149-160
|
artikel
|
| 71 |
Many-objective optimization with corner-based search
|
Freire, Hélio
|
|
2015
|
|
2 |
p. 105-118
|
artikel
|
| 72 |
Memetic algorithm for the Traveling Car Renter Problem: an experimental investigation
|
Goldbarg, Marco César
|
|
2011
|
|
2 |
p. 89-108
|
artikel
|
| 73 |
Memetic algorithms, domain knowledge, and financial investing
|
Du, Jie
|
|
2012
|
|
2 |
p. 109-125
|
artikel
|
| 74 |
Memetic informed evolutionary optimization via data mining
|
Chia, J. Y.
|
|
2011
|
|
2 |
p. 73-87
|
artikel
|
| 75 |
M-Link: a link clustering memetic algorithm for overlapping community detection
|
Gabardo, Ademir C.
|
|
|
|
2 |
p. 87-99
|
artikel
|
| 76 |
Moth search algorithm: a bio-inspired metaheuristic algorithm for global optimization problems
|
Wang, Gai-Ge
|
|
2016
|
|
2 |
p. 151-164
|
artikel
|
| 77 |
Multi-objective deep reinforcement learning for emergency scheduling in a water distribution network
|
Hu, Chengyu
|
|
|
|
2 |
p. 211-223
|
artikel
|
| 78 |
Navigation of underwater robot based on dynamically adaptive harmony search algorithm
|
Kundu, Shubhasri
|
|
2016
|
|
2 |
p. 125-146
|
artikel
|
| 79 |
Novel paralleled extreme learning machine networks for fault diagnosis of wind turbine drivetrain
|
Wang, Xian-Bo
|
|
2018
|
|
2 |
p. 127-142
|
artikel
|
| 80 |
Offline data-driven optimization based on dual-scale surrogate ensemble
|
Ku, Junhua
|
|
|
|
2 |
p. 139-154
|
artikel
|
| 81 |
On principle axis based line symmetry clustering techniques
|
Saha, Sriparna
|
|
2010
|
|
2 |
p. 129-144
|
artikel
|
| 82 |
On the choice of neighborhood sampling to build effective search operators for constrained MOPs
|
Lara, Adriana
|
|
2018
|
|
2 |
p. 155-173
|
artikel
|
| 83 |
Optimization problem solving with auctions in Cultural Algorithms
|
Reynolds, Robert G.
|
|
2013
|
|
2 |
p. 83-94
|
artikel
|
| 84 |
Optimizing ontology alignment through hybrid population-based incremental learning algorithm
|
Xue, Xingsi
|
|
2018
|
|
2 |
p. 209-217
|
artikel
|
| 85 |
Preference based multi-objective reinforcement learning for multi-microgrid system optimization problem in smart grid
|
Xu, Jiangjiao
|
|
|
|
2 |
p. 225-235
|
artikel
|
| 86 |
PSOHS: an efficient two-stage approach for data clustering
|
Hatamlou, Abdolreza
|
|
2013
|
|
2 |
p. 155-161
|
artikel
|
| 87 |
Quantum-Inspired Evolutionary Algorithm for difficult knapsack problems
|
Patvardhan, C.
|
|
2015
|
|
2 |
p. 135-155
|
artikel
|
| 88 |
Routing tree maintenance based on trajectory prediction in mobile sensor networks
|
Xin, Junchang
|
|
2016
|
|
2 |
p. 109-120
|
artikel
|
| 89 |
Scale factor local search in differential evolution
|
Neri, Ferrante
|
|
2009
|
|
2 |
p. 153-171
|
artikel
|
| 90 |
Sequence searching and evaluation: a unified approach for aircraft arrival sequencing and scheduling problems
|
Ji, Xiao-Peng
|
|
2015
|
|
2 |
p. 109-123
|
artikel
|
| 91 |
Solving 0–1 knapsack problems by chaotic monarch butterfly optimization algorithm with Gaussian mutation
|
Feng, Yanhong
|
|
2016
|
|
2 |
p. 135-150
|
artikel
|
| 92 |
Solving large-scale multiobjective optimization via the probabilistic prediction model
|
Hong, Haokai
|
|
|
|
2 |
p. 165-177
|
artikel
|
| 93 |
Solving the routing and wavelength assignment problem with a multilevel distributed memetic algorithm
|
Fischer, Thomas
|
|
2009
|
|
2 |
p. 101-123
|
artikel
|
| 94 |
Swarm based mean-variance mapping optimization for convex and non-convex economic dispatch problems
|
Khoa, T. H.
|
|
2016
|
|
2 |
p. 91-108
|
artikel
|
| 95 |
Tailoring hyper-heuristics to specific instances of a scheduling problem using affinity and competence functions
|
Salhi, Abdellah
|
|
2013
|
|
2 |
p. 77-84
|
artikel
|
| 96 |
The break scheduling problem: complexity results and practical algorithms
|
Widl, Magdalena
|
|
2014
|
|
2 |
p. 97-112
|
artikel
|
| 97 |
Thematic issue on knowledge and data driven evolutionary multi-objective optimization
|
Cheng, Ran
|
|
|
|
2 |
p. 133-134
|
artikel
|
| 98 |
The Memetic Tree-based Genetic Algorithm and its application to Portfolio Optimization
|
Aranha, Claus
|
|
2009
|
|
2 |
p. 139-151
|
artikel
|
| 99 |
Transfer weight functions for injecting problem information in the multi-objective CMA-ES
|
R. Castro, Olacir
|
|
2016
|
|
2 |
p. 153-180
|
artikel
|
| 100 |
Unsupervised and semi-supervised extreme learning machine with wavelet kernel for high dimensional data
|
Zhang, Nan
|
|
2016
|
|
2 |
p. 129-139
|
artikel
|
| 101 |
WRAO and OWA learning using Levenberg–Marquardt and genetic algorithms
|
Mendis, B. S. U.
|
|
2010
|
|
2 |
p. 101-110
|
artikel
|
Tijdschrift beschrijving