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Learning in Multiobjective Optimization (Dagstuhl Seminar 12041)

Salvatore Greco, Joshua D. Knowles, Kaisa Miettinen, Eckart Zitzler, Marc Herbstritt
2012 Dagstuhl Reports  
The purpose of the seminar was to bring together researchers from the two main communities studying multiobjective optimization, Multiple Criteria Decision Making and Evolutionary Multiobjective Optimization  ...  This report documents the programme and outcomes of the Dagstuhl Seminar 12041 Learning in Multiobjective Optimization.  ...  Acknowledgments Many thanks to the Dagstuhl office and its helpful and patient staff; huge thanks to the organizers of the previous seminars in the series for setting us up for success; and thanks to all  ... 
doi:10.4230/dagrep.2.1.50 dblp:journals/dagstuhl-reports/GrecoKMZ12 fatcat:yy4ks7xcgbdcbisw4ky2pxvvvi

Metaheuristic design of feedforward neural networks: A review of two decades of research

Varun Kumar Ojha, Ajith Abraham, Václav Snášel
2017 Engineering applications of artificial intelligence  
However, due to the limitations of the gradient-based optimization methods, the metaheuristic algorithms including the evolutionary algorithms, swarm intelligence, etc., are still being widely explored  ...  This article attempts to summarize a broad spectrum of FNN optimization methodologies including conventional and metaheuristic approaches.  ...  under REA grant agreement number 316555.  ... 
doi:10.1016/j.engappai.2017.01.013 fatcat:b5tmr7s5mvaktb733qe26ivo44

A Review of Gait Optimization Based on Evolutionary Computation

Daoxiong Gong, Jie Yan, Guoyu Zuo
2010 Applied Computational Intelligence and Soft Computing  
This paper also addresses further possible improvements in the efficiency and quality of evolutionary gait optimization, some problems that have not yet been resolved and the perspectives for related future  ...  As this is an optimization problem with constraints, it readily lends itself to Evolutionary Computation methods and solutions.  ...  The authors gratefully thank the anonymous reviewers for their valuable comments on the earlier draft of this paper and Mark Jonikas of Beijing University of Technology for extensive editing assistance  ... 
doi:10.1155/2010/413179 fatcat:psepcv4o3rh7tdpqn2vkex4o4q

AI in Finance: Challenges, Techniques and Opportunities [article]

Longbing Cao
2021 arXiv   pre-print
In contrast to either discussing the problems, aspects and opportunities of finance that have benefited from specific AI techniques and in particular some new-generation AI and data science (AIDS) areas  ...  The landscapes and challenges of financial businesses and data are firstly outlined, followed by a comprehensive categorization and a dense overview of the decades of AI research in finance.  ...  and agent state-updating; and developing new optimization methods to upgrade policy gradient and evolutionary algorithm to fit the complexities of real-life EcoFin optimization.  ... 
arXiv:2107.09051v1 fatcat:g62cz4dqt5dcrbckn4lbveat3u

Architecture Optimization Model for the Deep Neural Network

Kingsley Ukaoha, Efosa Igodan
2019 International Journal of Intelligent Computing and Information Sciences  
In this study, a novel approach that combines an evolutionary genetic algorithm and an optimization algorithm and a supervised deep neural network (Deep-NN) using alternative activation functions with  ...  These tasks though determine the success of building and training an effective and accurate model, are yet to be considered on a deep network having three hidden layers with varying optimized parameters  ...  Castillo et al., (2000a) propose a new hybrid approach of combining a single hidden layer MLP with an evolutionary algorithm and BP algorithm.  ... 
doi:10.21608/ijicis.2019.96101 fatcat:lxnzf53b5rdlrkzwizfjh4ltnm

A Review of Multi-objective Evolutionary Algorithms for Information Retrieval System

2020 International Journal of Emerging Trends in Engineering Research  
We present an investigation of two notable broadly useful multi-objective transformative algorithms, Challenges of Multi-objective Evolutionary Algorithms, Applications and Recent improvements in Multi-objective  ...  Evolutionary Algorithms all briefly.  ...  A Review of Multi-objective Evolutionary Algorithms for Information Retrieval System  ... 
doi:10.30534/ijeter/2020/1458102020 fatcat:qme6cftpv5eilpez7bqerc6ixy

Visible Light-Assisted Soft-Chemistry Route to Silver Nanomaterials at Room Temperature

Yi Wu, Xin Liu, Zi Huang, Xiang Fei He, Xi Yang, Qing Li
2019 Key Engineering Materials  
The effect of temperature on the morphology and properties of silver nanoparticles was investigated.  ...  The ultraviolet-visible (UV-vis) absorption and the fluorescent properties of the as-prepared AgNPs were explored.  ...  Indicator-based EAs are currently state-ofthe-art algorithms in Evolutionary Multiobjective Optimization (EMO).  ... 
doi:10.4028/ fatcat:xara5sxzf5fsvbib2dy6vrl7j4

Land-Use Suitability Analysis in the United States: Historical Development and Promising Technological Achievements

2001 Environmental Management  
Concluding with present explorations of advanced technologies such as neural computing and evolutionary programming, this work is meant to serve as a foundation for literature review and a premise for  ...  A historical overview and discussion of contemporary developments of land-use suitability analysis are presented.  ...  Acknowledgments We appreciate comments on an earlier draft of this paper by Professor Lewis Hopkins of the University of Illinois and by the late Professor Ian McHarg of the University of Pennsylvania.  ... 
doi:10.1007/s002670010247 pmid:11568842 fatcat:tdiqcyn77jf4zlugja6ycfwy4y

Multi-objective cooperative coevolution of artificial neural networks (multi-objective cooperative networks)

N Garcı́a-Pedrajas, C Hervás-Martı́nez, J Muñoz-Pérez
2002 Neural Networks  
The problem of evaluating the fitness on an individual based on many criteria that must be optimized together can be approached as a multi-criteria optimization problems, so the methods from multi-objective  ...  In this work we show how using several objectives for every subcomponent and evaluating its fitness as a multi-objective optimization problem, the performance of the model is highly competitive.  ...  Moya-Sánchez for her helping in the final version of this paper. This work has been supported in part by the Project ALI98-0676-CO2-02 of the Spanish Comisión Interministerial de Ciencia y Tecnología.  ... 
doi:10.1016/s0893-6080(02)00095-3 pmid:12425442 fatcat:z2pzopequvee7jcndu4eltfyv4

HYDROGEIOS: a semi-distributed GIS-based hydrological model for modified river basins

A. Efstratiadis, I. Nalbantis, A. Koukouvinos, E. Rozos, D. Koutsoyiannis
2008 Hydrology and Earth System Sciences  
others, the impacts of human activities on the status of waters.  ...  The model framework includes a parameter estimation module that involves various goodness-of-fit measures and state-of-the-art evolutionary algorithms for global and multiobjective optimisation.  ...  of Greece and private organisations (  ... 
doi:10.5194/hess-12-989-2008 fatcat:5gp5b25wffggpc3dhr2rrbc4mm

Academic Insights and Perspectives: Cellular Automata and Production Scheduling

Yong Chen, Feiyang Yu, Ziwen Cheng, Qiuxia Jin, Zhi Pei, Wenchao Yi
2020 Mathematical Problems in Engineering  
The cellular automata algorithm is one of the most important developments recently and is becoming an area of great potential in scheduling problems.  ...  To formally illustrate the research status of the cellular automata algorithm at the global level, bibliometric analysis was used based on the Web of Science and Scopus databases, and 3086 documents were  ...  By contrast, some keywords related to algorithms and optimization, like "evolutionary algorithm" and "ant colony optimization," witnessed explosive growth in 2008.  ... 
doi:10.1155/2020/6327314 fatcat:nrotbhesdzde7ae46oz6le2qbu


Xingyu Zhu, Xianhai Meng, Min Zhang
2021 Journal of Civil Engineering and Management  
It also contributes to the recommendation of future directions for the development of MCDM methods that would benefit construction research and practice.  ...  Therefore, it is urged to systematically review the existing body of literature to demonstrate the evolution of the mainstream MCDM methods in general and their application status in construction.  ...  Thanks should also be given to Professor Kao-Yi Shen in Chinese Culture University for his suggestions on the development of MADM and MODM dendrograms.  ... 
doi:10.3846/jcem.2021.15260 fatcat:rolr6hofm5fhzgmpcuali7b7wq

Urban Multi-Source Water Supply in China: Variation Tendency, Modeling Methods and Challenges

Peibing Song, Chao Wang, Wei Zhang, Weifeng Liu, Jiahui Sun, Xiaoying Wang, Xiaohui Lei, Hao Wang
2020 Water  
Based on the variation tendency of water consumption and water supply pattern in China, Tianjin is taken as a typical city for systematically outlining water supply changes and cause analysis.  ...  However, with the acceleration of urbanization and the explosion of urban populations, the contradiction between water supply and demand in some areas, especially in big cities, has become increasingly  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/w12041199 fatcat:gkc4h5ksoffmdi6ushzmlaeddi

Genetic Programming III - Darwinian Invention and Problem Solving

Peter Nordin
1999 Evolutionary Computation  
Acknowledgments We would like to acknowledge the help of our editor, Denise Penrose, and that of Edward Wade and Emilia Thiuri, at Morgan Kaufmann Publishers.  ...  Special thanks goes to our reviewers, who stuck with us through a major reorganization of the book and provided insightful and useful comments.  ...  For a comprehensive survey of multiobjective evolutionary algorithms, see Coello (1999) .  ... 
doi:10.1162/evco.1999.7.4.451 fatcat:27732t6mfvgt7mzpbvkrv6wcqm

Intelligent Design of Product Forms Based on Design Cognitive Dynamics and a Cobweb Structure

Wenjin Yang, Jian-Ning Su, Shutao Zhang, Kai Qiu, Xinxin Zhang, Rodolfo E. Haber
2021 Computational Intelligence and Neuroscience  
This process uses genetic algorithms to obtain numerous offspring forms, and the PICCM's mechanical properties are the energy loss parameters in the impact information.  ...  First, different design thinking stimulates the information source and is obtained by analyzing the designers' thinking process when designing and mining the dynamic mechanism behind it.  ...  Acknowledgments e project was sponsored by National Natural Science Foundation of China (51465037) and National Natural Science Foundation of China (51705226). e authors would like to thank American Journal  ... 
doi:10.1155/2021/6654717 pmid:33628216 pmcid:PMC7889380 fatcat:n6w3sqiunrdqhnwc3km2byauxe
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