20 research outputs found

    A Multimodal Problem for Competitive Coevolution

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    Coevolutionary algorithms are a special kind of evolutionary algorithm with advantages in solving certain specific kinds of problems. In particular, competitive coevolutionary algorithms can be used to study problems in which two sides compete against each other and must choose a suitable strategy. Often these problems are multimodal - there is more than one strong strategy for each side. In this paper, we introduce a scalable multimodal test problem for competitive coevolution, and use it to investigate the effectiveness of some common coevolutionary algorithm enhancement techniques

    Innovative large-diameter RO system for water reclamation and seawater desalination

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    10.2166/ws.2008.008Water Science and Technology: Water Supply8193-99WSTW

    Employability skills, personal qualities, and early employment problems of entry-level auditors: Perspectives from employers, lecturers, auditors, and students

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    The authors examine the issue of employability of university accounting students from the perspectives of accounting firm employers, junior auditors, accounting lecturers, and accounting students. Areas of investigation include perceived importance of employability skills and desirable personal qualities; and early employment problems encountered by junior auditors and ways to minimize the problems. The findings indicate that employers value communication skills, analytical skills, and time management skills the most. Employers prefer well-rounded and responsible individuals with positive job attitudes. The most frequently encountered early employment problems include lack of technical knowledge, difficulty in applying knowledge, and lack of English skills

    A Weak-Inversion Low-Power Active Mixer for 2.4 GHz ISM Band Applications

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