Robust gene expression programming
N Ryan, D Hibler - Procedia computer science, 2011 - Elsevier
Genetic/evolutionary methods are frequently used to deal with complex adaptive systems.
The classic example is a Genetic Algorithm. A Genetic Algorithm uses a simple linear …
The classic example is a Genetic Algorithm. A Genetic Algorithm uses a simple linear …
[PDF][PDF] Solving the dynamic job shop scheduling problem using bottleneck and intelligent agents based on genetic algorithm
The Dynamic Job Shop (DJS) scheduling problem is one of the most complex forms of
machine scheduling. This problem is one of NP-Hard problems for solving which numerous …
machine scheduling. This problem is one of NP-Hard problems for solving which numerous …
Utilizing Model Knowledge for Design Developed Genetic Algorithm to Solving Problem
HS Mojaveri - … Journal of Professional Business Review: Int. J …, 2018 - dialnet.unirioja.es
One of the discussed topics in scheduling problems is Dynamic Flexible Job Shop with
Parallel Machines (FDJSPM). Surveys show that this problem because of its concave and …
Parallel Machines (FDJSPM). Surveys show that this problem because of its concave and …
Evolutionary strategies for data mining
RM Lowe - 2010 - search.proquest.com
Learning classifier systems (LCS) have been successful in generating rules for solving
classification problems in data mining. The rules are of the form IF condition THEN action …
classification problems in data mining. The rules are of the form IF condition THEN action …