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Academic Articles & Research Papers
Showing 17 of 17 academic articles
Panta Lučić, Dušan Teodorović • International Journal of Artificial Intelligence Tools
(2003)
The Bee System (an artificial bee swarm) is introduced in this paper. The proposed approach is applied to the Traveling Salesman Problem. The obtained results are very promising. The potential applications of the developed Bee System in the...
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DOI: https://doi.org/10.1142/s0218213003001289
Paul Charbonneau • The Astrophysical Journal Supplement Series
(1995)
This paper aims at demonstrating, through examples, the applicability of genetic algorithms to wide classes of problems encountered in astronomy and astrophysics. Genetic algorithms are heuristic search techniques that incorporate, in a com...
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DOI: https://doi.org/10.1086/192242
Vinesh Rajpaul • arXiv (Cornell University)
(2012)
Genetic algorithms (GAs) emulate the process of biological evolution, in a computational setting, in order to generate good solutions to difficult search and optimisation problems. GA-based optimisers tend to be extremely robust and versati...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1202.1643
Xiaoqiang Wang, Xijing Zhu, Xiang Li, Jingyu Yang • Scientific Reports
(2026)
Abstract To address the challenges of labor-intensive operations, high safety risks, and low operational efficiency in the installation of hanging columns within tunnels, we propose a robotics-based mechanized and automated solution. First,...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-54684-w
Stefano Nolfi, Dario Floreano • The MIT Press eBooks
(2000)
Evolutionary robotics is a new technique for the automatic creation of autonomous robots. Inspired by the Darwinian principle of selective reproduction of the fittest, it views robots as autonomous artificial organisms that develop their ow...
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Open Access
DOI: https://doi.org/10.7551/mitpress/2889.001.0001
Kelly Shannon • Nova Science Publishers eBooks
(2006)
Preface Monodromic Quantum Computing Quantum Games and Programmable Quantum Systems The Fraunhofer Quantum Computing Simulator NMR and the Problem of Quantum Computer Creation: New Outlook Trade-off in Quantum Amplitude Amplification Techni...
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Yorick Hardy, Willi-Hans Steeb • Birkhäuser Basel eBooks
(2001)
Classical and Quantum computing provides a self-contained, systematic and comprehensive introduction to all the subjects and techniques important in scientific computing. The style and presentation are readily accessible to undergraduates a...
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DOI: https://doi.org/10.1007/978-3-0348-8366-5
Carlos A. Macía M, Hernán D. Sepúlveda D • Revista Facultad Nacional de Salud Pública
(2011)
Objective: the authors propose a new methodology for estimating sound absorption coefficients using genetic algorithms. Methodology: sound waves are generated and conducted along a rectangular silencer. The waves are then attenuated by the ...
DOAJ
Open Access (DOAJ)
Alexander F. Gelbukh • International Conference on Hybrid Intelligent Systems (HIS)
(2005)
Summary form only given. Natural language processing (NLP) is a major area of artificial intelligence research, which in its turn serves as a field of application and interaction of a number of other traditional AI areas. Until recently, th...
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DOI: https://doi.org/10.1109/ichis.2005.79
Mohamad H. Hassoun • Proceedings of the IEEE
(1996)
From the Publisher:
As book review editor of the IEEE Transactions on Neural Networks, Mohamad Hassoun has had the opportunity to assess the multitude of books on artificial neural networks that have appeared in recent years. Now, in Funda...
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DOI: https://doi.org/10.1109/jproc.1996.503146
David E. Goldberg, David Robson (1988)
David Goldberg's Genetic Algorithms in Search, Optimization and Machine Learning is by far the bestselling introduction to genetic algorithms. Goldberg is one of the preeminent researchers in the field--he has published over 100 research ar...
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Pat Langley B (1995)
Elements of Machine Learning by Pat Langley Preface 1. An overview of machine learning 1.1 The science of machine learning 1.2 Nature of the environment 1.3 Nature of representation and performance 1.4 Nature of the learning component 1.5 F...
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Peter Vas (1999)
Abstract Recently artificial-intelligence-based techniques (fuzzy logic, neural networks, fuzzy-neural networks, genetic algorithms, etc) have received increased attention world-wide and at present two industrial drives incorporate some for...
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DOI: https://doi.org/10.1093/oso/9780198593973.001.0001
Paul M. Mather, Stan Openshaw, C. Openshaw • Geographical Journal
(1998)
From the Publisher:
The text provides an introduction to expert systems, neural nets, genetic algorithms, smart systems and artificial life and shows how they are likely to transform geographical enquiry. An integral disk provides examples...
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DOI: https://doi.org/10.2307/3060633
Amal Kilani, Ahmed Ben Hamida, Habib Hamam • IGI Global eBooks
(2017)
In this paper, we present a profound literature review of the Artificial Intelligence (AI). After defining it, we briefly cover its history and enumerate its principal fields of application. We name for example information system, commerce,...
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DOI: https://doi.org/10.4018/978-1-5225-2255-3.ch010
Lili Huang • Journal of Mathematics
(2023)
In order to solve the problem of ship route planning at sea, we reduce the economic cost of ship navigation planning and improve the efficiency of ship navigation. As a result, the goal of this work is to delve into the mathematical modelin...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2023/5671089
Qian Zhang, Jie Lu B, Yaochu Jin • Complex & Intelligent Systems
(2020)
Abstract Recommender systems provide personalized service support to users by learning their previous behaviors and predicting their current preferences for particular products. Artificial intelligence (AI), particularly computational intel...
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DOI: https://doi.org/10.1007/s40747-020-00212-w