Special Issue on “Quantum Inspired Swarm and Evolutionary Computing Algorithms for Optimization Problems”
• 大类 : 工程技术 - 2区
• 小类 : 计算机：人工智能 - 2区
• 小类 : 计算机：理论方法 - 1区
1. Aim and Scope
Natural computing algorithm represent a very important field in computational intelligence, soft computing and optimization in a general sense. For this purpose, we noticed clearly that they attracted outstanding interest from many researchers across the globe. Indeed, past and ongoing research in this field covers an important group of subjects, from basic research to a large number of real-world applications. On the other hand, many research efforts in the field on quantum computing have been made since 1990, after the demonstration that computer based on principle of quantum mechanics can offer more processing power for some classes of problems. Typically, quantum computing is based on the principle of superposition, which states that a particle can be in two different states simultaneously, suggest that a high degree of parallelism can be achieved using this kind of computers. The superiority of quantum computing was demonstrated with few algorithms, namely the Shor's algorithm (used for factoring large number) and Grover's algorithm (used for searching databases). The integration of natural computing algorithm and quantum computing has become topic of increasing interest for both researchers and practitioners from academic fields and industry world-wide. It is foreseeable that quantum inspired swarm and evolutionary computing algorithms (QISWEVCA) will be one of the main approaches for the next generation of intelligent system and optimization research. In recent years, QISWEVCA has become a new hotspot of intelligent computing research. The combined package of QISWEVCA has demonstrated great benefits to industry and showed potential to be used in a wide variety of applications. Hence, the interest of researchers bends towards the recent development of QISWEVCA for different applications.
The principle aim of this Special Issue is to assemble state-of-the-art contributions on the latest research and development, up-to-date issues, and challenges in the field of QISWEVCA. Proposed submission should be original, unpublished, and should present, novel-in-depth fundamental research contribution either from a methodological perspective or from an application point of view.
The topics relevant to the special issue include (but not limited to):