Part 3: Finance and Service ScienceInternational audienceIn present day, performance of inter and intra cooperative enterprise systems can be guaranteed by provisioning e-Services. Modeling values for e-Service is challenging due to inherited complexity of service constellations. In this research, we present a classification to guide identification of different types of value objects that could be considered as mostly relevant and appropriate in healthcare trading scenarios. Further we propose a set of guidelines that direct construction of e3-Value model along with the instructions to figure out the value objects. The classification and the guidelines are capable enough to provide clear and precise understanding of goal aligned e-Services to be developed and deployed by e-Service designers. Thus the proposed approach also facilitates business/IT alignment by realizing business motivations and top level goals in e3-Value model which directly assist in defining business system requirements
Cooperativeness/competitiveness and altruism/selfishness are two key pairs of factors that could be adopted by natural algorithms in order to experience significant variations as well as to improve the quality of the existing solutions. Identifying the individual and social components separately and fine tuning the use of said behaviours of natural ants is worth investigating with regards to the behaviours of artificial ants in Ant Colony Optimisation. According to the experimental results of this study, it can be shown that the solutions are affected by these two key pairs of factors of ants and the colonies while their corresponding influences can make differences in the solution quality of the algorithm. This research has attempted to adapt the said behaviours of ants to solve two general issues of Evolutionary Algorithms, decreasing the delay in convergence and premature convergence. Travelling Salesman Problem is used as the reference problem.
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.