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Comparing the Performance of Learnable Evolution Model LEM and Pattern Search as a Function Optimizer
2006 ITI 4th International Conference on Information & Communications Technology
◽
10.1109/itict.2006.358228
◽
2006
◽
Cited By ~ 1
Author(s):
Ihab Talkhan
◽
Amir Atiya
◽
Hany Sallam
◽
M. Ashour
◽
A. M. Abd El Salam
◽
...
Keyword(s):
Pattern Search
◽
Evolution Model
◽
Learnable Evolution Model
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References
Learnable evolution model performance impaired by binary tournament survival selection
Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference - GECCO '09
◽
10.1145/1570256.1570392
◽
2009
◽
Author(s):
Mark Coletti
Keyword(s):
Model Performance
◽
Evolution Model
◽
Survival Selection
◽
Learnable Evolution Model
Download Full-text
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems
Proceedings of the 8th annual conference on Genetic and evolutionary computation - GECCO '06
◽
10.1145/1143997.1144197
◽
2006
◽
Cited By ~ 17
Author(s):
Janusz Wojtusiak
◽
Ryszard S. Michalski
Keyword(s):
Optimization Problems
◽
Complex Function
◽
Evolution Model
◽
Function Optimization
◽
Learnable Evolution Model
Download Full-text
Preliminary Investigation of the ‘Learnable Evolution Model’ for Faster/Better Multiobjective Water Systems Design
Lecture Notes in Computer Science - Evolutionary Multi-Criterion Optimization
◽
10.1007/978-3-540-31880-4_58
◽
2005
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pp. 841-855
◽
Cited By ~ 18
Author(s):
Laetitia Jourdan
◽
David Corne
◽
Dragan Savic
◽
Godfrey Walters
Keyword(s):
Preliminary Investigation
◽
Systems Design
◽
Water Systems
◽
Evolution Model
◽
Learnable Evolution Model
Download Full-text
The effects of training set size and keeping rules on the emergent selection pressure of learnable evolution model
Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion - GECCO Companion '12
◽
10.1145/2330784.2331016
◽
2012
◽
Cited By ~ 1
Author(s):
Mark Coletti
Keyword(s):
Selection Pressure
◽
Evolution Model
◽
Training Set
◽
Set Size
◽
Learnable Evolution Model
Download Full-text
The learnable evolution model in agent-based delivery optimization
Memetic Computing
◽
10.1007/s12293-012-0088-9
◽
2012
◽
Vol 4
(3)
◽
pp. 165-181
◽
Cited By ~ 5
Author(s):
Janusz Wojtusiak
◽
Tobias Warden
◽
Otthein Herzog
Keyword(s):
Evolution Model
◽
Agent Based
◽
Learnable Evolution Model
Download Full-text
An Optimized Design of Finned-Tube Evaporators Using the Learnable Evolution Model
HVAC&R Research
◽
10.1080/10789669.2004.10391099
◽
2004
◽
Vol 10
(2)
◽
pp. 201-211
◽
Cited By ~ 19
Author(s):
Piotr Domanski
◽
David Yashar
◽
Kenneth Kaufman
◽
Ryszard Michalski
Keyword(s):
Finned Tube
◽
Evolution Model
◽
Optimized Design
◽
Learnable Evolution Model
Download Full-text
Intelligent Optimization via Learnable Evolution Model
2006 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06)
◽
10.1109/ictai.2006.69
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2006
◽
Cited By ~ 3
Author(s):
Ryszard S. Michalski
◽
Janusz Wojtusiak
◽
Kenneth A. Kaufman
Keyword(s):
Evolution Model
◽
Intelligent Optimization
◽
Learnable Evolution Model
Download Full-text
An improved learnable evolution model for solving multi-objective vehicle routing problem with stochastic demand
Knowledge-Based Systems
◽
10.1016/j.knosys.2021.107378
◽
2021
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pp. 107378
Author(s):
Yunyun Niu
◽
Detian Kong
◽
Rong Wen
◽
Zhiguang Cao
◽
Jianhua Xiao
Keyword(s):
Vehicle Routing
◽
Vehicle Routing Problem
◽
Stochastic Demand
◽
Evolution Model
◽
Routing Problem
◽
Multi Objective
◽
Learnable Evolution Model
Download Full-text
The new optimization algorithm for the vehicle routing problem with time windows using multi-objective discrete learnable evolution model
Soft Computing
◽
10.1007/s00500-019-04312-9
◽
2019
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Vol 24
(9)
◽
pp. 6741-6769
Author(s):
Behzad Moradi
Keyword(s):
Vehicle Routing
◽
Optimization Algorithm
◽
Vehicle Routing Problem
◽
Time Windows
◽
Evolution Model
◽
Routing Problem
◽
Multi Objective
◽
Learnable Evolution Model
Download Full-text
Dissertation corner: Handling constrained optimization problems and using constructive induction to improve representation spaces in learnable evolution model
ACM SIGEVOlution
◽
10.1145/1366914.1366918
◽
2007
◽
Vol 2
(3)
◽
pp. 24-25
◽
Cited By ~ 3
Author(s):
Janusz Wojtusiak
Keyword(s):
Constrained Optimization
◽
Optimization Problems
◽
Evolution Model
◽
Constructive Induction
◽
Constrained Optimization Problems
◽
Learnable Evolution Model
◽
Representation Spaces
◽
Improve Representation
Download Full-text
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