scholarly journals A Greedy Randomized Adaptive Search Procedure (GRASP) for inferring logical clauses from examples in polynomial time and some extensions

1998 ◽  
Vol 27 (1) ◽  
pp. 75-99 ◽  
Author(s):  
A.S Deshpande ◽  
E Triantaphyllou
Keyword(s):  
Polynomial Time ◽  
Search Procedure ◽  
Adaptive Search

scholarly journals Jobs scheduling within Industry 4.0 with consideration of worker’s fatigue and reliability using Greedy Randomized Adaptive Search Procedure

2019 ◽  
Vol 52 (19) ◽  
pp. 85-90
Author(s):  
I. El Mouayni ◽  
G. Demesure ◽  
H. Bril-El Haouzi ◽  
P. Charpentier ◽  
A. Siadat
Keyword(s):  
Industry 4.0 ◽  
Search Procedure ◽  
Adaptive Search

Finding weaknesses in networks using Greedy Randomized Adaptive Search Procedure and Path Relinking

2020 ◽  
Vol 37 (6) ◽  
Author(s):  
Sergio Pérez‐Peló ◽  
Jesús Sánchez‐Oro ◽  
Abraham Duarte
Keyword(s):  
Path Relinking ◽  
Search Procedure ◽  
Adaptive Search

Extraction of Classification Rules in Databases through Metaheuristic Procedures Based on GRASP

2014 ◽  
Vol 945-949 ◽  
pp. 3369-3375
Author(s):  
Genival Pavanelli ◽  
Maria Teresinha Arns Steiner ◽  
Anderson Roges Teixeira Góes ◽  
Alessandra Memari Pavanelli ◽  
Deise Maria Bertholdi Costa
Keyword(s):  
Data Mining ◽  
Knowledge Management ◽  
Knowledge Discovery In Databases ◽  
Personal Knowledge ◽  
Professional Experience ◽  
Search Procedure ◽  
Adaptive Search ◽  
Classification Rules ◽  
Constant Attention ◽  
Whole Process

The process of knowledge management in the several areas of society requires constant attention to the multiplicity of decisions to be made about the activities in organizations that constitute them. To make these decisions one should be cautious in relying only on personal knowledge acquired through professional experience, since the whole process based on this method would be slow, expensive and highly subjective. To assist in this management, it is necessary to use mathematical tools that fulfill the purpose of extracting knowledge from database. This article proposes the application of Greedy Randomized Adaptive Search Procedure (GRASP) as Data Mining (DM) tool within the process called Knowledge Discovery in Databases (KDD) for the task of extracting classification rules in databases.

Inventory-Transportation Integrated Optimization Problem in Many-to-One Distribution System

2012 ◽  
Vol 178-181 ◽  
pp. 2610-2614
Author(s):  
Li Hui Liu ◽  
Ying Mei Pei ◽  
Jing Sun
Keyword(s):  
Distribution System ◽  
Optimization Problem ◽  
Computer Experiments ◽  
Product Variety ◽  
Search Procedure ◽  
Adaptive Search ◽  
Integrated Optimization ◽  
Vehicle Capacity ◽  
Calculated Quantity

In many-one distribution system, the Greedy Randomized Adaptive Search Procedure (GRASP) was applied to solve the Inventory-transportation Integrated Optimization problem (ITIO problem). The ITIO problem in many-one distribution system is difficult. When the product variety, the supplier quantity or the vehicle capacity increases, the calculated quantity will increase exponentially, and it is very difficult to get an exact solution. However, the GRASP can answer this problem. Further, by analyzing the computer experiments, it is proved that the GRASP can find the better solution to the ITIO problem in less time, and the quality of the solution will be improved with the size of the problem expanding.

scholarly journals A Greedy Randomized Adaptive Search Procedure for Maximum Independent Set

1994 ◽  
Vol 42 (5) ◽  
pp. 860-878 ◽  
Author(s):  
Thomas A. Feo ◽  
Mauricio G. C. Resende ◽  
Stuart H. Smith
Keyword(s):  
Independent Set ◽  
Maximum Independent Set ◽  
Search Procedure ◽  
Adaptive Search
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