LEM3 is the newest version of the learnable evolution model (LEM), a non-Darwinian evolutionary computation methodology that employs machine learning to guide evolutionary processes. Due to the deep integration of different modes of operation, several novel elements in its algorithm, and the use of the advanced machine learning system AQ21, the LEM3 system is a highly efficient and effective implementation of the methodology. LEM3 is particularly attractive for multitype optimization because it supports, and treats accordingly, different attribute types for describing candidate solutions in the population. These attribute types are nominal, ordinal, structured, cyclic, interval, and ratio. Application to optimization of parameters of a comp...
In recent years, the use of Artificial Intelligence (AI) has become prevalent in a large number of s...
We are very pleased to introduce this special issue on multiobjective evolutionary optimization for ...
While Machine Learning (ML) techniques enjoyed growing popularity in recent years, the role of Evolu...
The Learnable Evolution Model (LEM), first presented at the Fourth International Workshop on Multist...
2 LEM stands for Learnable Evolution Model and it is an Evolutionary Computation procedure which use...
The recently introduced Learnable Evolution Model (LEM) represents a form of non-Darwinian evolution...
Numerical optimization of multimodal or otherwise nontrivial functions has stayed around the peak of...
An evolutionary algorithm (EA) is a biologically inspired metaheuristic that uses mutation, crossove...
Abstract. The design of large scale water distribution systems is a very difficult optimisation prob...
A new approach to evolutionary computation, called Learnable Evolution Model (LEM), has been applied...
Abstract – In this paper, we presents a new classification algorithm called ( LEM+ID3) and extending...
Evolutionary computation (EC) is a kind of optimization methodology inspired by the mechanisms of bi...
Evolutionary algorithms are bio-inspired algorithms based on Darwin’s theory of evolution. They are ...
Evolutionary algorithms alone cannot solve optimization problems very efficiently since there are ...
Real-world has many optimization scenarios with multiple constraints and objective functions that ar...
In recent years, the use of Artificial Intelligence (AI) has become prevalent in a large number of s...
We are very pleased to introduce this special issue on multiobjective evolutionary optimization for ...
While Machine Learning (ML) techniques enjoyed growing popularity in recent years, the role of Evolu...
The Learnable Evolution Model (LEM), first presented at the Fourth International Workshop on Multist...
2 LEM stands for Learnable Evolution Model and it is an Evolutionary Computation procedure which use...
The recently introduced Learnable Evolution Model (LEM) represents a form of non-Darwinian evolution...
Numerical optimization of multimodal or otherwise nontrivial functions has stayed around the peak of...
An evolutionary algorithm (EA) is a biologically inspired metaheuristic that uses mutation, crossove...
Abstract. The design of large scale water distribution systems is a very difficult optimisation prob...
A new approach to evolutionary computation, called Learnable Evolution Model (LEM), has been applied...
Abstract – In this paper, we presents a new classification algorithm called ( LEM+ID3) and extending...
Evolutionary computation (EC) is a kind of optimization methodology inspired by the mechanisms of bi...
Evolutionary algorithms are bio-inspired algorithms based on Darwin’s theory of evolution. They are ...
Evolutionary algorithms alone cannot solve optimization problems very efficiently since there are ...
Real-world has many optimization scenarios with multiple constraints and objective functions that ar...
In recent years, the use of Artificial Intelligence (AI) has become prevalent in a large number of s...
We are very pleased to introduce this special issue on multiobjective evolutionary optimization for ...
While Machine Learning (ML) techniques enjoyed growing popularity in recent years, the role of Evolu...