Lecture Notes in Computer Science - Artificial Evolution
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Published By Springer International Publishing

9783319781327, 9783319781334
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scholarly journals On the Use of Dynamic GP Fitness Cases in Static and Dynamic Optimisation Problems

2018 ◽  
pp. 72-87
Author(s):  
Edgar Galván-López ◽  
Lucia Vázquez-Mendoza ◽  
Marc Schoenauer ◽  
Leonardo Trujillo
Keyword(s):  
Dynamic Optimisation

Comparison of Acceptance Criteria in Randomized Local Searches

2018 ◽  
pp. 16-29
Author(s):  
Alberto Franzin ◽  
Thomas Stützle
Keyword(s):  
Acceptance Criteria ◽  
Local Searches

Basic, Dual, Adaptive, and Directed Mutation Operators in the Fly Algorithm

2018 ◽  
pp. 100-114
Author(s):  
Zainab Ali Abbood ◽  
Franck P. Vidal
Keyword(s):  
Directed Mutation ◽  
Mutation Operators

Evolutionary Optimization of Tone Mapped Image Quality Index

2018 ◽  
pp. 176-188
Author(s):  
Xihe Gao ◽  
Jeremy Porter ◽  
Stephen Brooks ◽  
Dirk V. Arnold
Keyword(s):  
Image Quality ◽  
Quality Index ◽  
Evolutionary Optimization ◽  
Image Quality Index

MEMSA: A Robust Parisian EA for Multidimensional Multiple Sequence Alignment

2018 ◽  
pp. 88-99
Author(s):  
Julie D. Thompson ◽  
Renaud Vanhoutrève ◽  
Pierre Collet
Keyword(s):  
Sequence Alignment ◽  
Multiple Sequence Alignment ◽  
Multiple Sequence

scholarly journals On the Design of a Master-Worker Adaptive Algorithm Selection Framework

2018 ◽  
pp. 1-15
Author(s):  
Christopher Jankee ◽  
Sébastien Verel ◽  
Bilel Derbel ◽  
Cyril Fonlupt
Keyword(s):  
Adaptive Algorithm ◽  
Algorithm Selection ◽  
Selection Framework

A New High-Level Relay Hybrid Metaheuristic for Black-Box Optimization Problems

2018 ◽  
pp. 115-128
Author(s):  
Julien Lepagnot ◽  
Lhassane Idoumghar ◽  
Mathieu Brévilliers ◽  
Maha Idrissi-Aouad
Keyword(s):  
Optimization Problems ◽  
Black Box ◽  
Hybrid Metaheuristic ◽  
High Level

scholarly journals Evolutionary Learning of Fire Fighting Strategies

2018 ◽  
pp. 162-175
Author(s):  
Martin Kretschmer ◽  
Elmar Langetepe
Keyword(s):  
Fire Fighting ◽  
Evolutionary Learning

Improved Hybrid Iterative Tabu Search for QAP Using Distance Cooperation

2018 ◽  
pp. 129-143
Author(s):  
Omar Abdelkafi ◽  
Lhassane Idoumghar ◽  
Julien Lepagnot
Keyword(s):  
Tabu Search
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