Evolutionary algorithm

Bài giảng "Tính toán tiến hóa: Bài 9 - Multi-objective optimization" được biên soạn với các nội dung chính sau: Tối ưu đa mục tiêu; A multi-objective evolutionary algorithm based on decomposition. Mời các bạn cùng tham khảo bài giảng!

30p kimphuong1001 11-02-2023 12 3   Download

This paper proposes a solution to the power grid system's reactive power optimization scheduling problem (RPSP) based on a novel Manta ray forging algorithm (MRFO) evolutionary algorithm. By applying the penalty function for the reactive power optimization model, the management of the constraints of the RPSP optimization formula is counting on for calculation.

10p linyanjun_2408 21-04-2022 19 2   Download

In this paper, we present a novel global protein-protein interaction network alignment algorithm, which is enhanced with an extended large neighborhood search heuristics. Evaluated on benchmark datasets of yeast, fly, human and worm, the proposed algorithm outperforms state-of-the-art algorithms. Furthermore, the complexity of ours is polynomial, thus being scalable to large biological networks in practice.

11p tamynhan4 06-09-2020 15 4   Download

Backtracking Search Optimization Algorithm (BSA) is a new stochastic evolutionary algorithm and the aim of this paper is to introduce a hybrid approach combining the BSA and Quadratic approximation (QA), called HBSAfor solving unconstrained non-linear, non-differentiable optimization problems.

12p tohitohi 22-05-2020 20 1   Download

EURASIP Journal on Applied Signal Processing 2003:8, 814–823 c 2003 Hindawi Publishing Corporation On the Use of Evolutionary Algorithms to Improve the Robustness of Continuous Speech Recognition Systems in Adverse Conditions Sid-Ahmed Selouani Secteur Gestion de l’Information, Universit´ de Moncton, Campus de Shippagan, 218 boulevard J.-D.-Gauthier, e Shippagan, Nouveau-Brunswick, Canada E8S 1P6 Email: selouani@umcs.

10p sting12 10-03-2012 45 4   Download

EURASIP Journal on Applied Signal Processing 2003:8, 834–840 c 2003 Hindawi Publishing Corporation A Comparison of Evolutionary Algorithms for Tracking Time-Varying Recursive Systems Michael S. White Royal Holloway, University of London, Egham Hill, Egham, Surrey, TW20 0EX, UK Email: mike@whitem.com Stuart J. Flockton Royal Holloway, University of London, Egham Hill, Egham, Surrey, TW20 0EX, UK Email: s.flockton@rhul.ac.

7p sting12 10-03-2012 49 6   Download

EURASIP Journal on Applied Signal Processing 2003:8, 806–813 c 2003 Hindawi Publishing Corporation Optimization and Assessment of Wavelet Packet Decompositions with Evolutionary Computation Thomas Schell Department of Scientific Computing, University of Salzburg, Jakob Haringer Street 2, A-5020 Salzburg, Austria Email: tschell@cosy.sbg.ac.at Andreas Uhl Department of Scientific Computing, University of Salzburg, Jakob Haringer Street 2, A-5020 Salzburg, Austria Email: uhl@cosy.sbg.ac.

8p sting12 10-03-2012 49 4   Download

Tuyển tập các báo cáo nghiên cứu về hóa học được đăng trên tạp chí hóa hoc quốc tế đề tài : Efficient and accurate image alignment using TSK-type neuro-fuzzy network with data-miningbased evolutionary learning algorithm

22p dauphong11 06-02-2012 51 5   Download

Excel 2010 Solver trong Excel 2010 đã được thiết kế lại về giao diện và tên gọi của các hộp khai báo thông số cũng như sắp xếp lại các thành phần trên hộp thoại. Solver trong Excel 2010 đã bổ sung thêm phương pháp tìm kiếm lời giải mới Evolutionary Solver dựa trên các thuật toán di truyền (genetic algorithms). Phương pháp này cho phép giải quyết những bài toán có sử dụng bất kỳ hàm nào trong Excel. Solver trong Excel 2010 được tối ưu cho việc giải quyết các bài toán tuyến tính và phi tuyến...

7p yesno123 16-09-2011 351 76   Download

This chapter describes the joint application of two soft computing methods – evolutionary algorithms and fuzzy reasoning – to the problem of adaptive distributed routing control in packet-switched communication networks. In this problem, a collection of geographically distributed routing nodes are required to adaptively route data packets so as to minimise mean network packet delay. Nodes reach routing decisions locally using state measurements which are delayed and necessarily only available at discrete sampling intervals. ...

14p tienvovan 11-09-2010 69 5   Download