Analysis of multi-objective evolutionary algorithms to optimize dynamic data types in embedded systems

Proceedings of the 10th annual conference on Genetic and evolutionary computation - GECCO '08 ◽

10.1145/1389095.1389388 ◽

2008 ◽

Author(s):

J. Ignacio Hidalgo ◽

José L. Risco-Martín ◽

David Atienza ◽

Juan Lanchares

Keyword(s):

Embedded Systems ◽

Evolutionary Algorithms ◽

Dynamic Data ◽

Multi Objective

Download Full-text

Mixed heuristic and mathematical programming using reference points for dynamic data types optimization in multimedia embedded systems

Proceedings of the 11th Annual conference on Genetic and evolutionary computation - GECCO '09 ◽

10.1145/1569901.1570115 ◽

2009 ◽

Author(s):

José L. Risco-Martín ◽

J. Ignacio Hidalgo ◽

David Atienza ◽

Juan Lanchares ◽

Oscar Garnica

Keyword(s):

Mathematical Programming ◽

Embedded Systems ◽

Reference Points ◽

Download Full-text

Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems

10.1007/978-81-322-1958-3 ◽

2015 ◽

Keyword(s):

Embedded Systems ◽

Evolutionary Algorithms ◽

Multi Objective Optimization ◽

Multi Objective

Download Full-text

A parallel evolutionary algorithm to optimize dynamic data types in embedded systems

Soft Computing ◽

10.1007/s00500-008-0295-y ◽

2008 ◽

Vol 12 (12) ◽

pp. 1157-1167 ◽

Author(s):

José L. Risco-Martín ◽

David Atienza ◽

J. Ignacio Hidalgo ◽

Juan Lanchares

Keyword(s):

Embedded Systems ◽

Evolutionary Algorithm ◽

Dynamic Data ◽

Parallel Evolutionary Algorithm

Download Full-text

Optimization of Dynamic Data Types in Embedded Systems using DEVS/SOA-based Modeling and Simulation

Proceedings of the Third International ICST Conference on Scalable Information Systems ◽

10.4108/icst.infoscale2008.3504 ◽

2008 ◽

Author(s):

José L. Risco-Martín ◽

Saurabh Mittal ◽

David Atienza ◽

J. Ignacio Hidalgo ◽

Juan Lanchares

Keyword(s):

Embedded Systems ◽

Modeling And Simulation ◽

Download Full-text

Land-use planning via enhanced multi-objective evolutionary algorithms: optimizing the land value of major Greenfield initiatives

Journal of Land Use Science ◽

10.1080/1747423x.2016.1223187 ◽

2016 ◽

Vol 11 (5) ◽

pp. 595-617 ◽

Author(s):

Spiros M. Karakostas

Keyword(s):

Land Use ◽

Evolutionary Algorithms ◽

Land Use Planning ◽

Multi Objective

Download Full-text

Automated Test Input Generation for Convolutional Neural Networks by Implementing Multi-objective Evolutionary Algorithms

2020 Eighth International Symposium on Computing and Networking Workshops (CANDARW) ◽

10.1109/candarw51189.2020.00040 ◽

2020 ◽

Author(s):

Lingfeng ZHANG ◽

Hiroyuki SATO

Keyword(s):

Neural Networks ◽

Evolutionary Algorithms ◽

Convolutional Neural Networks ◽

Multi Objective ◽

Download Full-text

An interactive method for surrogate-assisted multi-objective evolutionary algorithms

2020 12th International Conference on Knowledge and Systems Engineering (KSE) ◽

10.1109/kse50997.2020.9287862 ◽

2020 ◽

Author(s):

Dinh Nguyen Duc ◽

Long Nguyen ◽

Kien Thai Trung

Keyword(s):

Evolutionary Algorithms ◽

Interactive Method ◽

Multi Objective

Download Full-text

Visual mapping of multi-objective optimization problems and evolutionary algorithms

Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion ◽

10.1145/3377929.3398104 ◽

2020 ◽

Author(s):

Kohei Yamamoto ◽

Tomoaki Takagi ◽

Keiki Takadama ◽

Hiroyuki Sato

Keyword(s):

Evolutionary Algorithms ◽

Optimization Problems ◽

Multi Objective Optimization ◽

Multi Objective ◽

Download Full-text

Multilayered composite structure design optimisation using distributed/parallel multi-objective evolutionary algorithms

Composite Structures ◽

10.1016/j.compstruct.2011.10.009 ◽

2012 ◽

Vol 94 (3) ◽

pp. 1087-1096 ◽

Author(s):

D.S. Lee ◽

C. Morillo ◽

G. Bugeda ◽

S. Oller ◽

E. Onate

Keyword(s):

Evolutionary Algorithms ◽

Composite Structure ◽

Structure Design ◽

Design Optimisation ◽

Multi Objective ◽

Multilayered Composite

Download Full-text

Reference point based multi-objective optimization using evolutionary algorithms

Proceedings of the 8th annual conference on Genetic and evolutionary computation - GECCO '06 ◽

10.1145/1143997.1144112 ◽

2006 ◽

Author(s):

Kalyanmoy Deb ◽

J. Sundar

Keyword(s):

Evolutionary Algorithms ◽

Reference Point ◽

Multi Objective Optimization ◽

Multi Objective

Download Full-text