Tăng cường bộ tối ưu tìm kiếm nhân với hành vi tìm kiếm thức ăn của nấm mốc cho các vấn đề phân phối phát thải kinh tế kết hợp

Journal of Bionic Engineering - Tập 20 - Trang 2863-2895 - 2023
Ruyi Dong1, Lixun Sun1, Long Ma1, Ali Asghar Heidari2, Xinsen Zhou3, Huiling Chen3
1College of Information and Control Engineering, Jilin Institute of Chemical Technology, Jilin, China
2School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran
3Key Laboratory of Intelligent Informatics for Safety & Emergency of Zhejiang Province, Wenzhou University, Wenzhou, China

Tóm tắt

Việc giảm phát thải chất ô nhiễm từ sản xuất điện trong hệ thống điện có tác động tích cực đến việc kiểm soát phát thải khí nhà kính. Bộ tối ưu tìm kiếm nhân tăng cường (BKSO) được giới thiệu trong nghiên cứu này để giải quyết vấn đề phân phối phát thải kinh tế kết hợp (CEED). Lấy cảm hứng từ hành vi tìm kiếm thức ăn trong thuật toán nấm mốc (SMA), ma trận nhân của bộ tối ưu tìm kiếm nhân (KSO) đã được tăng cường. BKSO được đề xuất ưu việt hơn KSO tiêu chuẩn về khả năng khai thác, độ bền và tốc độ hội tụ. Hàm kiểm tra CEC2013 được sử dụng để đánh giá hiệu suất của KSO đã được cải tiến và so sánh với 11 thuật toán tối ưu hóa nổi tiếng khác. BKSO hoạt động tốt hơn trong các kết quả thống kê và đường cong hội tụ. Đồng thời, BKSO đạt được chi phí nhiên liệu tốt hơn và ít phát thải ô nhiễm hơn khi thử nghiệm với bốn trường hợp CEED thực tế, và giải pháp Pareto thu được cũng tốt hơn các thuật toán MA khác. Dựa trên các kết quả thực nghiệm, BKSO có hiệu suất tốt hơn các thuật toán MA tương đương khác và có thể cung cấp các giải pháp kinh tế hơn, bền vững hơn và sạch hơn cho các vấn đề CEED.

Từ khóa

#phát thải kinh tế kết hợp #bộ tối ưu tìm kiếm nhân #nấm mốc #thuật toán tối ưu hóa #kiểm tra CEC2013

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