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Improved binary artificial bee colony algorithm Research Articles

Rafet Durgut,rafetdurgut@karabuk.edu.tr

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 8, Pages 1080-1091 doi: 10.1631/FITEE.2000239

Abstract: The (ABC) algorithm is an evolutionary optimization algorithm based on swarm intelligence and inspired by the honey bees’ food search behavior. Since the ABC algorithm has been developed to achieve optimal solutions by searching in the continuous search space, modification is required to apply it to problems. In this study, we modify the ABC algorithm to solve problems and name it the improved binary ABC (IbinABC). The proposed method consists of an update mechanism based on fitness values and the selection of different decision variables. Therefore, we aim to prevent the ABC algorithm from getting stuck in a local minimum by increasing its exploration ability. We compare the IbinABC algorithm with three variants of the ABC and other meta-heuristic algorithms in the literature. For comparison, we use the well-known OR-Library dataset containing 15 problem instances prepared for the uncapacitated facility location problem. Computational results show that the proposed algorithm is superior to the others in terms of convergence speed and robustness. The source code of the algorithm is available at https://github.com/rafetdurgut/ibinABC.

Keywords：人工蜂群；二进制优化；无容量限制的设施选址位置问题（UFLP）

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Modified Binary Artificial Bee Colony Algorithm forMultidimensional Knapsack Problem

Wang Zhigang,Xia Huiming

Strategic Study of CAE 2014, Volume 16, Issue 8, Pages 106-112

Abstract:

The binary artificial bee colony algorithm has the shortcomings of slower convergence speed and falling into local optimum easily. According to the defects, a modified binary artificial bee colony algorithm is proposed. The algorithm redesign neighborhood search formula in artificial bee colony algorithm, the probability of the food position depends on the Bayes formula. The modified algorithm was used for solving multidimensional knapsack problem, during the evolution process, it uses the greedy algorithm repairs the infeasible solution and rectify knapsack resources with insufficient use. The simulation results show the feasibility and effectiveness of the proposed algorithm.

Keywords： artificial bee colony algorithm multidimensional knapsack problem greedy algorithm combinatorial optimization

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Engineering System of Weather Modification in China

He Zhijin,Wang Guanghe,Wang Yuzeng

Strategic Study of CAE 2000, Volume 2, Issue 7, Pages 87-91

Abstract:

Weather modification (rain enhancement, hail suppression, fog clearing, etc.) is introduced in this paper, including the basic scientific principle, history of development, present status, scientific-technical progress, scope of activities, increasing demand, organization, etc. , in China and abroad. A typical operational system of weather modification in China is described, which consists of monitoring and forecasting of weather and cloud, seeding technology (conception model, seeding criteria, effective agent, delivery system) ,numerical modeling, communication-commanding and evaluating systems. The importance of scientific-technical research system is emphasized. The main aspects of research on the concerned applied sciences and technical development are proposed. The important role of long-term stable scientific demonstrative experiments is explained. The direction of further development in this field is also suggested.

Keywords： weather modification precipitation enhancement hail suppression fog clearing engineering system

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Ethical Principles and Governance Technology Development of AI in China Review

Wenjun Wu, Tiejun Huang, Ke Gong

Engineering 2020, Volume 6, Issue 3, Pages 302-309 doi: 10.1016/j.eng.2019.12.015

Abstract:

Ethics and governance are vital to the healthy and sustainable development of artificial intelligence (AI). With the long-term goal of keeping AI beneficial to human society, governments, research organizations, and companies in China have published ethical guidelines and principles for AI, and have launched projects to develop AI governance technologies. This paper presents a survey of these efforts and highlights the preliminary outcomes in China. It also describes the major research challenges in AI governance research and discusses future research directions.

Keywords： AI ethical principles AI governance technology Machine learning Privacy Safety Fairness

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Artificial intelligence and statistics Perspective

Bin YU, Karl KUMBIER

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1, Pages 6-9 doi: 10.1631/FITEE.1700813

Abstract: Artificial intelligence (AI) is intrinsically data-driven. It calls for the application of statistical concepts through human-machine collaboration during the generation of data, the development of algorithms, and the evaluation of results. This paper discusses how such human-machine collaboration can be approached through the statistical concepts of population, question of interest, representativeness of training data, and scrutiny of results (PQRS). The PQRS workflow provides a conceptual framework for integrating statistical ideas with human input into AI products and researches. These ideas include experimental design principles of randomization and local control as well as the principle of stability to gain reproducibility and interpretability of algorithms and data results. We discuss the use of these principles in the contexts of self-driving cars, automated medical diagnoses, and examples from the authors’ collaborative research.

Keywords： Artificial intelligence Statistics Human-machine collaboration

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Direction and influencing factors of hydraulic fracture

Zhao Guoshi,Xu Jian,Qiu Jinping

Strategic Study of CAE 2012, Volume 14, Issue 4, Pages 100-104

Abstract:

Stress orientations of regional stress field is the main influencing factors for the hydraulic fracture. Most of the hydraulic fracture extend along the greatest principal stress direction, which also affected by geological structure, original faults and faulting plane. Lots of hydraulic fracturing have been monitored in the Tamtsag Basin of Mongolia and Hailaer Basin in the Heilongjiang province of China, which provided information for the will distribution. It is proved that the rule of the greatest principal stress direction except some anomaly directions. It will be great helpful for us to study these anomaly cases. The following of this article will analysis the mechanism of the anomaly directions and reasons for high production.

Keywords： direction of hydraulic fracture geological structure original faults faulting plane

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Development Strategy for the Core Software and Hardware of Artificial Intelligence in China

Gao Lei, Fu Yongquan, Li Dongsheng, Liao Xiangke

Strategic Study of CAE 2021, Volume 23, Issue 3, Pages 90-97 doi: 10.15302/J-SSCAE-2021.03.008

Abstract:

Artificial intelligence (AI) is an important enabling technology for promoting global digital development, and it is leading a new round of technological revolution and industrial transformation. Promoting AI core software and hardware technologies and industry is strategically significant for the national development, industrial upgrading, and productivity improvement in China. In this study, we summarize the development status of AI core hardware and software in China and abroad from the aspects of technology, industry, and policy, and analyze the problems faced by China’s development. Subsequently, we present the development ideas of China’s AI hardware and software technology and industry, propose the strategic objectives for 2025 and 2035, and summarize the key tasks for future development from the aspects of AI core hardware, AI core software, and AI-related basic technology. To provide references for the sustainable development of AI core hardware and software in China, we suggest that AI core software and hardware technologies should be included in the national top-level planning for science and technology innovation to acquire increased scientific research investment; AI open source platforms should be constructed and demonstrated; the research and development of AI key generic technologies should be promoted to achieve collaborative innovation; the AI industrial base should be reengineered to upgrade the industrial chain; and the AI innovative talent training system should be improved.

Keywords： artificial intelligence (AI) core software and hardware AI chip basic intelligent algorithm new enabling technology

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All Set and Artificial Intelligence

Zhang Jiang,Lin Hua,He Zhongxiong

Strategic Study of CAE 2002, Volume 4, Issue 3, Pages 40-47

Abstract:

This paper presents a brand new set theory, All Set theory, which is the united set form of the current set theories including crisp set, fuzzy set, extension set, vague set, rough set, set pair analysis, FHW (fuzzy gray matter - element)，FEEC(fuzzy extension economic control) and so on. The operation of the all set is also discussed in detail. A kind of style of the human being' s intelligence can be described by a kind of set form, thus all set is the united form. An all set is comprised of four parts, that is ( A, B, F, J ). A is the universe of the problem discussed. One of the elements in A can be described by an element of B. F is the map from A to B. And J restricts F. From this model, the concept of subjection that is the basic conception of human´s intelligence can be simulated. Hence the wide application of all set theory in the field of artificial intelligence including pattern recognition, clustering, logic, machine learning, intelligent decision, etc. , can be developed. Especially the relation among all set, logic and human intelligence style is illustrated in the paper. The theory of all set can not only unify and summarize the current theories but also provide the primary method for establishing new set theory and new logic.

Keywords： all set artificial intelligence set theory operation logic

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Development of Content Security Based on Artificial Intelligence

Zhu Shiqiang, Wang Yongheng

Strategic Study of CAE 2021, Volume 23, Issue 3, Pages 67-74 doi: 10.15302/J-SSCAE-2021.03.004

Abstract:

Content security refers to the protection of information content and that the information content meets the requirements at political, legal, and moral levels. The recent development of artificial intelligence (AI) has had a very important impact on content security. In this article, we summarize the research status and development trends of AI-based content security in China and abroad based on the major strategic demand therefor, and presents the key technical issues regarding AI-based content security. This study proposes to build the world’s leading AI-based content security system through a three-step strategy. Innovation and breakthroughs should be made in areas such as adversarial machine learning, explainable AI, hybrid enhanced intelligence, and knowledge-driven content security. Meanwhile, the construction of policies, regulations, and regulatory mechanisms should be emphasized. Furthermore, major content security infrastructure such as cyber ranges for content attack and defense and large-scale social system simulation devices for public opinion attack and defense should be established.

Keywords： artificial intelligence (AI)，content security，system construction

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Status and development of sciences and technology for weather modification

Zheng Guoguang,Guo Xueliang

Strategic Study of CAE 2012, Volume 14, Issue 9, Pages 20-27

Abstract:

The brief introduction of history, status and development of weather modification is presented here. With development and progress of human civilization, the sensitivity and vulnerability to weather show an increasing trend. Since the creation of modern weather modification in 1946, the strong demands for water resource and relief of natural disaster induced by severe weather have promoted the rapid development of weather modification. The obvious advancement and development of science and technology of weather modification have been achieved in the past 60 years due to the increased understanding of natural weather process. The basic principle, application, status and key issues of science and technology, and development trend of weather modification are introduced and discussed in this paper.

Keywords： weather modification status of science and technology development trend

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Cyber security meets artificial intelligence: a survey Review Article

Jian-hua LI

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 12, Pages 1462-1474 doi: 10.1631/FITEE.1800573

Abstract:

There is a wide range of interdisciplinary intersections between cyber security and artificial intelligence (AI). On one hand, AI technologies, such as deep learning, can be introduced into cyber security to construct smart models for implementing malware classification and intrusion detection and threating intelligence sensing. On the other hand, AI models will face various cyber threats, which will disturb their sample, learning, and decisions. Thus, AI models need specific cyber security defense and protection technologies to combat adversarial machine learning, preserve privacy in machine learning, secure federated learning, etc. Based on the above two aspects, we review the intersection of AI and cyber security. First, we summarize existing research efforts in terms of combating cyber attacks using AI, including adopting traditional machine learning methods and existing deep learning solutions. Then, we analyze the counterattacks from which AI itself may suffer, dissect their characteristics, and classify the corresponding defense methods. Finally, from the aspects of constructing encrypted neural network and realizing a secure federated deep learning, we expatiate the existing research on how to build a secure AI system.

Keywords： Cyber security Artificial intelligence (AI) Attack detection Defensive techniques

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Research on New Mode and Business Model of Manufacturing Led by New-Generation Artificial Intelligence Technology

Research Group for Research on New Mode and Business Model of Manufacturing Led by New-Generation Artificial Intelligence Technology

Strategic Study of CAE 2018, Volume 20, Issue 4, Pages 66-72 doi: 10.15302/J-SSCAE-2018.04.011

Abstract:

Led by the development of artificial intelligence technology, the production technology, organization mode, and competitive strategy of the manufacturing industry are facing major changes, which also provides opportunities for formation of new modes and business models of manufacturing. Driven by the new generation of artificial intelligence technology, new modes and business models generated by convergence of the service industry and the manufacturing industry have emerged in the practice and thus serve as the focus of this study. The study has analyzed the development trends, typical types, and key platform technologies of the new modes and business models of manufacturing, and proposed the development guidelines, goals, and approaches for the new modes and business models. According to the basis and present situation of manufacturing in China, the study has selected the remote operation & maintenance service and mass customization as examples, and put forward the development directions, goals, and policy suggestions for the two business models in the related fields.

Keywords： artificial intelligence manufacturing new mode new business model

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From Brain Science to Artificial Intelligence Review

Jingtao Fan, Lu Fang, Jiamin Wu, Yuchen Guo, Qionghai Dai

Engineering 2020, Volume 6, Issue 3, Pages 248-252 doi: 10.1016/j.eng.2019.11.012

Abstract:

Reviewing the history of the development of artificial intelligence (AI) clearly reveals that brain science has resulted in breakthroughs in AI, such as deep learning. At present, although the developmental trend in AI and its applications has surpassed expectations, an insurmountable gap remains between AI and human intelligence. It is urgent to establish a bridge between brain science and AI research, including a link from brain science to AI, and a connection from knowing the brain to simulating the brain. The first steps toward this goal are to explore the secrets of brain science by studying new brain-imaging technology; to establish a dynamic connection diagram of the brain; and to integrate neuroscience experiments with theory, models, and statistics. Based on these steps, a new generation of AI theory and methods can be studied, and a subversive model and working mode from machine perception and learning to machine thinking and decision-making can be established. This article discusses the opportunities and challenges of adapting brain science to AI.

Keywords： Artificial intelligence Brain science

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Heading toward Artificial Intelligence 2.0

Yunhe Pan

Engineering 2016, Volume 2, Issue 4, Pages 409-413 doi: 10.1016/J.ENG.2016.04.018

Abstract:

With the popularization of the Internet, permeation of sensor networks, emergence of big data, increase in size of the information community, and interlinking and fusion of data and information throughout human society, physical space, and cyberspace, the information environment related to the current development of artificial intelligence (AI) has profoundly changed. AI faces important adjustments, and scientific foundations are confronted with new breakthroughs, as AI enters a new stage: AI 2.0. This paper briefly reviews the 60-year developmental history of AI, analyzes the external environment promoting the formation of AI 2.0 along with changes in goals, and describes both the beginning of the technology and the core idea behind AI 2.0 development. Furthermore, based on combined social demands and the information environment that exists in relation to Chinese development, suggestions on the development of AI 2.0 are given.

Keywords： Artificial intelligence 2.0 Big data Crowd intelligence Cross-media Human-machine hybrid-augmented intelligence Autonomous-intelligent system

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Artificial Intelligence Ethics Supervision in China: Demand Analysis and Countermeasures

Liu Lu, Yang Xiaolei, Gao Wen

Strategic Study of CAE 2021, Volume 23, Issue 3, Pages 106-112 doi: 10.15302/J-SSCAE-2021.03.006

Abstract:

The rapid development of artificial intelligence (AI) industry is accompanied by various social ethical risks, and the consequences of these risks have gradually emerged. Allowing humans to securely enjoy the major benefits of AI technology has become an important task of AI supervision. In this article, we first analyze the focus issues of AI ethics, including the distribution of machine and human rights, social trust crisis of AI, security of data and algorithms, as well as confirmation of rights and attribution of liability. Subsequently, we summarize the development paths and policy status of AI industry in China and abroad, and analyze the demand for AI ethical supervision in China from multiple dimensions. Furthermore, we suggest that the supervision scope of AI should be extended in a staged manner based on the technical progress of AI. To create better global development opportunities for China’s AI industry, a multi-dimensional supervision framework that combines ethics, law, and policy should be established, a sufficient social discussion space should be provided for all stakeholders to participate in public discussion on AI security, scientific and technological ethics supervision organizations of multiple levels should be improved in an orderly manner, and China should actively participate in the formulation of AI international rules.

Keywords： artificial intelligence (AI) governance structure ethical supervision ethics committee