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Learnable evolution model

The learnable evolution model (LEM) is a novel, non-Darwinian methodology for evolutionary computation that employs machine learning to guide the… 
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Related topics

Related topics

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Broader (1)

Evolutionary computation
Machine learningMutation (genetic algorithm)Population

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
The new optimization algorithm for the vehicle routing problem with time windows using multi-objective discrete learnable evolution model
  • Behzad Moradi
  • Soft Computing - A Fusion of Foundations…
  • 2020
  • Corpus ID: 203182126
This paper presents a new multi-objective discreet learnable evolution model (MODLEM) to address the vehicle routing problem with… 
2006
2006
Intelligent Optimization via Learnable Evolution Model
A new method for optimizing complex functions and systems is described that employs learnable evolution model (LEM), a form of… 
2006
2006
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems
Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide… 
Highly Cited
2005
Highly Cited
2005
Preliminary Investigation of the 'Learnable Evolution Model' for Faster/Better Multiobjective Water Systems Design
The design of large scale water distribution systems is a very difficult optimisation problem which invariably requires the use… 
Highly Cited
2004
Highly Cited
2004
LEARNABLE EVOLUTION MODEL: Evolutionary Processes Guided by Machine Learning
  • R. Michalski
  • Machine-mediated learning
  • 2004
  • Corpus ID: 11661272
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian… 
2004
2004
THE LEM3 IMPLEMENTATION OF LEARNABLE EVOLUTION MODEL USER 'S GUIDE 1
This report presents a User’s Guide for the LEM3 program implementing Learnable Evolution Model, a machine learning-guided form… 
2001
2001
Adaptive Anchoring Discretization for Learnable Evolution Model: The ANCHOR Method
This research has been conducted in the Machine Learning and Inference Laboratory at the School of Computational Sciences, George… 
2000
2000
Experimental validations of the learnable evolution model
A recently developed approach to evolutionary computation, called Learnable Evolution Model or LEM, employs machine learning to… 
2000
2000
ISHED1: Applying the LEM Methodology to Heat Exchanger Design
The authors thank the National Institute of Standards and Technology and Intelligent Information Systems, Inc. for their support… 
1999
1999
Initial Experiments with the LEM1 Learnable Evolution Model: An Application to Function Optimization and Evolvable Hardware
This report presents results of a series of experiments on applying LEM1, a preliminary implementation of Learnable Evolution… 
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