Biased random-key genetic algorithms: A tutorial with applications

被引:1
作者
Noronha, Thiago F. [1 ]
Ribeiro, Celso C. [2 ,3 ]
机构
[1] Univ Fed Minas Gerais, BR-31270901 Belo Horizonte, Brazil
[2] Univ Fed Fluminense, BR-24210346 Niteroi, Brazil
[3] Univ Fed Bahia, BR-24210346 Niteroi, Brazil
来源
2024 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS, METAHEURISTICS & SWARM INTELLIGENCE, ISMSI 2024 | 2024年
关键词
Genetic algorithms; biased random-key genetic algorithms; metaheuristics; combinatorial optimization; applications; framework; WEIGHT SETTING PROBLEM; PATH-RELINKING; OSPF; HEURISTICS; MINIMIZATION; CONGESTION; ASSIGNMENT; GRASP;
D O I
10.1145/3665065.3665083
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This tutorial overviews biased random-key genetic algorithms and their applications. They are characterized by their solution encoding and population evolution, with solutions represented by a vector of real numbers. Selection and crossover are biased to produce better than purely random offspring. We discuss the population evolution dynamics, design and implementation issues, and present a software framework. Extensions and improvements of the basic algorithm are discussed, followed by a review of applications.
引用
收藏
页码:110 / 115
页数:6
相关论文
共 78 条
[1]   A new efficient biased random key genetic algorithm for open shop scheduling with routing by capacitated single vehicle and makespan minimization [J].
Abreu, Levi R. ;
Tavares-Neto, Roberto F. ;
Nagano, Marcelo S. .
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2021, 104
[2]  
Alfaro-Fernandez Pedro, 2017, 12 MET INT C BARC, P201
[3]   The Multi-Parent Biased Random-Key Genetic Algorithm with Implicit Path-Relinking and its real-world applications [J].
Andrade, Carlos E. ;
Toso, Rodrigo F. ;
Goncalves, Jose F. ;
Resende, Mauricio G. C. .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2021, 289 (01) :17-30
[4]   Scheduling software updates for connected cars with limited availability [J].
Andrade, Carlos E. ;
Byers, Simon D. ;
Gopalakrishnan, Vijay ;
Halepovic, Emir ;
Poole, David J. ;
Tran, Lien K. ;
Volinsky, Christopher T. .
APPLIED SOFT COMPUTING, 2019, 82
[5]   Evolutionary Algorithms for Overlapping Correlation Clustering [J].
Andrade, Carlos E. ;
Resende, Mauricio G. C. ;
Karloff, Howard J. ;
Miyazawa, Flavio K. .
GECCO'14: PROCEEDINGS OF THE 2014 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, 2014, :405-412
[6]   A biased random-key genetic algorithm for wireless backhaul network design [J].
Andrade, Carlos E. ;
Resende, Mauricio G. C. ;
Zhang, Weiyi ;
Sinha, Rakesh K. ;
Reichmann, Kenneth C. ;
Doverspike, Robert D. ;
Miyazawa, Flavio K. .
APPLIED SOFT COMPUTING, 2015, 33 :150-169
[7]  
[Anonymous], 1990, Knapsack Problems: Algorithms and Computer Implementations
[8]  
Bean J. C., 1994, ORSA Journal on Computing, V6, P154, DOI 10.1287/ijoc.6.2.154
[9]   A biased random-key genetic algorithm for scheduling heterogeneous multi-round systems [J].
Brandao, Julliany S. ;
Noronha, Thiago F. ;
Resende, Mauricio G. C. ;
Ribeiro, Celso C. .
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH, 2017, 24 (05) :1061-1077
[10]   A biased random-key genetic algorithm to maximize the number of accepted lightpaths in WDM optical networks [J].
Brandao, Julliany S. ;
Noronha, Thiago F. ;
Ribeiro, Celso C. .
JOURNAL OF GLOBAL OPTIMIZATION, 2016, 65 (04) :813-835