Genetic algorithm's approach has been one of the most important optimization techniques though the related problems of selection pressure still exist. Diversity is the key issue. For this reason, we explored the implication of redundancy in both genetic algorithm's overrepresentation and multi-explanation. Our research result supports the view of crosscompetition but not diversity loss when considering uniform coding redundancy with expressive elitism and the tolerance of infeasible solutions. On the other side, we developed new decoding procedure based on the inborn searchability of the small world. In designing the network of the reverse logistics having multiple lower-dimensional constraints, with the help of multiple overlapped fitness functions, the performance of genetic algorithms can truly be improved.
This action research encompasses both descriptive and prescriptive treatment of the process and outcomes of an international and interdisciplinary volunteer service learning project. The project was held in a Junior High School in Suniteyou, Xilingol League in Inner Mongolia. The descriptive, qualitative aspect captures the reflections and thoughts of volunteer-service students. Sample participants include two teachers and fourteen students (five from the department of English, and nine from Information Management) from Aletheia University. It is found that service learning provides benefits to both service providers and service receivers. The target student population benefited from improved motivation and enhanced educational resources. Simultaneously, volunteer students (service providers) received numerous benefits, such as (1) mutually beneficial interaction with students from other departments, in conjunction with help from the teachers; (2) positive spillover effects from the service receiver students' learning enthusiasm; (3) expanded knowledge base through an active and effective task-based project (4) in conjunction with guided reflection, the project promoted positive attitudes, critical thinking and self-growth (5) experience that fosters professionalism; (6) happiness through accomplishing goals and helping others. The researchers also observed a number of problems during the service and the interdisciplinary cooperation. Even though the results showed that service provider students' learning effectiveness developed after participating the interdisciplinary cooperation; the study also discusses the interdisciplinary cooperation on students' impact and how interdisciplinary cooperation helped the volunteer students. Finally, this study provides many prescriptive observations for improvement. It is hoped that this study will promote the practice of offering service-learning opportunities in higher education to influence and encourage students to become active participants in society.
Researchers usually focused on using unstructured documents, such as news, scientific literatures, World Wide Web pages, business reports, as input documents of KeyGraph. But the unstructured documents might results in unclear keywords and meaningless keywords. Although traditional document preprocessing could dismiss some of the problems, generating complex and unreadable KeyGraph diagrams were not avoidance. In this research, we applied the concept of chance discovery and KeyGraph to discover hidden blue ocean strategy (BOS) for decision makers who not necessary familiar with the concerned domains. A preprocessing strategy, including develop an operational framework of BOS and design a sentence structure for representing BOS, was proposed to assure the necessary keywords be included in the required documents. Seventy-two documents concerning blue ocean firms were collected as sample cases for developing the operational framework. At last, three experiences were designed for confirming the performance of the proposed preprocessing strategy. Experimental results shown that the subjects were not consistently recognized BOS with traditional approach (used unstructured documents as input documents of KeyGraph). In contrast, the subjects could easily find explicit scenarios of BOS, and recognize a few of implicit scenarios appeared on KeyGraph diagrams with the proposed strategy.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.