A Test Cases Generation Method for Industrial Control Protocol Test

The coverage of test cases is an important indicator for the security and robustness test of industrial control protocols. It is an important research topic to complete the test with less use cases. Taking Modbus protocol as an example, a calculation method of case similarity and population dispersion based on weight division is proposed in this paper. The method can describe the similarity of use cases and the dispersion degree of individuals in the population more accurately. Genetic algorithm is used to generate and optimize test cases, and individual similarity and population dispersion are used as fitness functions of genetic algorithm. Experimental results show that the proposed method can increase the population dispersion by 3.45% compared with the conventional methods and effectively improve the coverage of test cases.

Smart City Landscape Design Based on Improved Particle Swarm Optimization Algorithm

Aiming at the shortcomings of standard particle swarm optimization (PSO) algorithms that easily fall into local optimum, this paper proposes an optimization algorithm (LTQPSO) that improves quantum behavioral particle swarms. Aiming at the problem of premature convergence of the particle swarm algorithm, the evolution speed of individual particles and the population dispersion are used to dynamically adjust the inertia weights to make them adaptive and controllable, thereby avoiding premature convergence. At the same time, the natural selection method is introduced into the traditional position update formula to maintain the diversity of the population, strengthen the global search ability of the LTQPSO algorithm, and accelerate the convergence speed of the algorithm. The improved LTQPSO algorithm is applied to landscape trail path planning, and the research results prove the effectiveness and feasibility of the algorithm.

The Renewal of Xinmin Food Market under the Background of "Relieving Beijing of Functions Nonessential to Its Role as the Capital"

In response to the needs for "relieving Beijing of functions nonessential to its role as the capital", Beijing has fulfilled a series of tasks including old urban area renewal and population dispersion in the central urban area so as to strictly control the increment and effectively relieve the pressure over the stock. Some community food markets have been shut down, or regulated, transformed and upgraded. As a typical case, the Xinmin Food Market was renewed and upgraded in 2016, which has produced some impacts on consumers, business owners and managers. By taking the Xinmin Food Market as a case, this paper makes an in-depth survey and interview with its stakeholders, explores the pre-transformation problems and post-transformation improvements, analyzes the potential needs of consumers, business owners and administrators, summarizes the development status and improvement potential of food markets and propose the strategies for further renewal, with a view to providing references and suggestions for the optimization and upgrading of food markets in the old urban area.

Performance of the Modified Dolphin Monitoring Operator for Weight Optimization of Skeletal Structures

In this study, the Modified Dolphin Monitoring (MDM) operator is used to enhance the performance of some metaheuristic algorithms. The MDM is a recently presented operator that controls the population dispersion in each iteration. Algorithms are selected from some well-established algorithms. Here, this operator is applied on Differential Evolution (DE), Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Vibrating Particles System (VPS), Enhanced Vibrating Particles System (EVPS), Colliding Bodied Optimization (CBO) and Harmony Search (HS) and the performance of these algorithms are evaluated with and without this operator on three well-known structural optimization problems. The results show the performance of this operator on these algorithms for the best, the worst, average and average weight of the first quarter of answers.

Development of Conceptual Model for Overcoming the Challenges of Road and Bridge Infrastructure Development: Towards Innovative Solutions in Benin Republic

Roads and Bridges (R-B) form the basis for transformation and communication, and constitute the most critical part in the national economic development drive. The population dispersion in Benin, with high density living in metropolitans, calls for continuing development and improvement on R-B under the current national government policies and strategic plans. As R-B infrastructure objects are complex engineering facilities, and their construction and maintenance require much special scientific knowledge, the sustainability development objective becomes a crucial issue. This paper discusses the initial findings results of a two-round interviews with a group of practitioners in Beninese R-B development, which were aimed at identifying existing perceptions on sustainability and the agreeable priority issues between stakeholders focusing on the development of R-B. By extensive literature study and consultation with the stakeholders, influencing factors and key sustainability challenges specific to R-B development has been identified and classified into five categories namely engineering, managerial, human development, political and cultural, and sustainability. Based on these findings, this study introduces an on-going research project aimed at integrating the different perceptions and priority needs of the stakeholders, and issues that impact on the gap between sustainability development foci and its actual realization at R-B project construction. The exploration is of benefit to develop an innovative conceptual model to overcome the main factors. Through adopting and implementing the strategies and action plan of the conceptual model, the study presents a practical and innovative solution to improve Beninese capacity towards overcoming the problems. Finally, the study summaries the research conclusions and recommendations necessary to facilitate the development of the present R-B tempo in Benin.

Improving Student Understanding of Spatial Ecology Statistics

This activity is designed as a primer to teaching population dispersion analysis. The aim is to help improve students’ spatial thinking and their understanding of how spatial statistic equations work. Students use simulated data to develop their own statistic and apply that equation to experimental behavioral data for Gambusia affinis (western mosquitofish). This activity can be adapted and conducted at the 9–16 grade levels.