Scientists have long looked to nature and biology in order to understand and model solutions for complex real-world problems. The study of bionics bridges the functions, biological structures and functions and organizational principles found in nature with our modern technologies, numerous mathematical and metaheuristic algorithms have been developed along with the knowledge transferring process from the life forms to the human technologies. Output of bionics study includes not only physical products, but also various optimization computation methods that can be applied in different areas. Related algorithms can broadly be divided into four groups: (1)evolutionary based bio-inspired algorithms, (2) swarm intelligencebased bioinspired algorithms, (3) ecology-based bio-inspired algorithms and (4) multi-objective bioinspired algorithms. Bio-inspired algorithms such as neural network, ant colony algorithms, particle swarm optimization and others have been applied in almost every area of science, engineering and business management with a dramatic increase of number of relevant publications. This paper provides a systematic, pragmatic and comprehensive review of the latest developments in Evolutionary based Bio-

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Student satisfaction and sense of belonging are key to student retention and success. This study investigated undergraduate students' satisfaction and sense of belonging based on a survey of 2791 students from one predominantly white institution in the southeast United States. The results revealed that students were overall satisfied and felt they belonged to the campus community. Students in the underrepresented groups (i.e., non-White, non-heterosexual, and non-Christian) reported significantly less satisfaction and a weaker sense of belonging than those in the majority groups. Seniors reported significantly less satisfaction than freshmen and sophomore. Students with a conservative political view reported significantly more satisfaction than those with a moderate or liberal political view. In addition, students' sense of belonging as well as their ethnicity/race, sexual orientation, religious belief, political view, and student rank significantly predicted their satisfaction, and about 34% of the variation in students' satisfaction could be explained by these variables. The findings can inform policy making, funding navigation, and intervention programs in higher education, and higher education institutions should commit to equality, diversity, and inclusion in promoting student satisfaction and success.

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