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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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

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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

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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 ◽

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

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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

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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

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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

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Intelligent Optimization via Learnable Evolution Model

2006 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06) ◽

10.1109/ictai.2006.69 ◽

2006 ◽

Cited By ~ 3

Author(s):

Ryszard S. Michalski ◽

Janusz Wojtusiak ◽

Kenneth A. Kaufman

Keyword(s):

Evolution Model ◽

Intelligent Optimization ◽

Learnable Evolution Model

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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 ◽

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

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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 ◽

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

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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

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