Application of Adaptive Current Search to Solve Constraint Optimization Problems
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Abstract
The adaptive current search (ACS) is one of the most efficient metaheuristic optimization techniques. Algorithms of the ACS is developed from the behavior of electric current flown through electrical networks. This paper proposes the application of the ACS to solve constraint optimization problems. Performance of the ACS is evaluated against three standard benchmarking constraint problems. Then, the ACS is applied to solve two real-world constraint engineering problems, i.e. spring design and pressure vessel design. Results obtained by the ACS will be compared with those obtained by the conventional method. As results, it was found that the ACS can provide superior solutions to the conventional method for all problems.
Article Details
บทความ ข้อมูล เนื้อหา รูปภาพ ฯลฯ ที่ได้รับการตีพิมพ์ในวารสารฯ ถือเป็นลิขสิทธิ์ของวารสารฯ หากบุคคลหรือหน่วยงานใดต้องการนำทั้งหมดหรือส่วนหนึ่งส่วนใดไปเผยแพร่ต่อหรือเพื่อกระทำการใดๆ จะได้รับอนุญาต แต่ห้ามนำไปใช้เพื่่อประโยชน์ทางธุรกิจ และห้ามดัดแปลง
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