{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,4]],"date-time":"2022-04-04T21:21:51Z","timestamp":1649107311859},"reference-count":13,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Comp. Intel. Appl."],"published-print":{"date-parts":[[2008,6]]},"abstract":"<jats:p> Hardware\u2013Software (HW\u2013SW) co-synthesis is one of the key steps in modern embedded system design. Generally, HW\u2013SW co-synthesis is to optimally allocate processors, assign tasks to processors, and schedule the processing of tasks to achieve a good balance among performance, cost, power consumption, etc. Hence, it is a typical multi-objective optimization problem. In this paper, a new multi-objective HW\u2013SW co-synthesis algorithm based on the quantum-inspired evolutionary algorithm (MQEAC) is proposed. MQEAC utilizes multiple quantum probability amplitude vectors to model the promising areas of solution space. Meanwhile, this paper presents a new crossover operator to accelerate the convergence to the Pareto front and introduces a PE slot-filling strategy to improve the efficiency of scheduling. Experimental results show that the proposed algorithm can solve the typical multi-objective co-synthesis problems effectively and efficiently. <\/jats:p>","DOI":"10.1142\/s146902680800220x","type":"journal-article","created":{"date-parts":[[2009,1,21]],"date-time":"2009-01-21T09:42:38Z","timestamp":1232530958000},"page":"129-148","source":"Crossref","is-referenced-by-count":2,"title":["A MULTI-OBJECTIVE HW\u2013SW CO-SYNTHESIS ALGORITHM BASED ON QUANTUM-INSPIRED EVOLUTIONARY ALGORITHM"],"prefix":"10.1142","volume":"07","author":[{"given":"WENLONG","family":"WEI","sequence":"first","affiliation":[{"name":"Nature Inspired Computation and Applications Laboratory, University of Science and Technology of China, Hefei 230026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"BIN","family":"LI","sequence":"additional","affiliation":[{"name":"Nature Inspired Computation and Applications Laboratory, University of Science and Technology of China, Hefei 230026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"YI","family":"ZOU","sequence":"additional","affiliation":[{"name":"Nature Inspired Computation and Applications Laboratory, University of Science and Technology of China, Hefei 230026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"WENCONG","family":"ZHANG","sequence":"additional","affiliation":[{"name":"Nature Inspired Computation and Applications Laboratory, University of Science and Technology of China, Hefei 230026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"ZHENQUAN","family":"ZHUANG","sequence":"additional","affiliation":[{"name":"Nature Inspired Computation and Applications Laboratory, University of Science and Technology of China, Hefei 230026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,20]]},"reference":[{"key":"rf1","first-page":"45","author":"Ernest R.","journal-title":"IEEE Des. 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