Greedy heuristic

Part 1 of ebook "Cooperative systems: Control and optimization" provides readers with contents including: optimally greedy control of team dispatching systems; heuristics for designing the control of a UAV fleet with model checking; unmanned helicopter formation flight experiment for the study of mesh stability; cooperative estimation algorithms using TDOA measurements; a comparative study of target localization methods for large GDOP;...

202p dongmelo 26-05-2024 6 3   Download

Lecture "Fundamentals of optimization: Heuristic methods" provides students with content about: Overview of greedy methods; Multi knapsack problem; Exercise - BCA;... Please refer to the detailed content of the lecture!

14p gaupanda031 20-05-2024 7 3   Download

Bài giảng Trí tuệ nhân tạo (Artificial intelligence) - Chương 3.2: Giải quyết vấn đề - Tìm kiếm với tri thức bổ sung. Chương này cung cấp cho sinh viên những nội dung gồm: tìm kiếm với tri thức bổ sung; tìm kiếm theo cấu trúc cây; các chiến lược tìm kiếm với tri thức bổ sung; best-first search; Greedy best-first search; các ước lượng chấp nhận được;... Mời các bạn cùng tham khảo chi tiết nội dung bài giảng!

72p codabach1016 03-05-2024 6 4   Download

Artificial intelligence - Lecture 4: Search. This lecture provides students with content including: graph search; best-first search; A* search; straight line distances; greedy best-first search; admissible heuristics;... Please refer to the detailed content of the lecture!

10p codabach1016 03-05-2024 3 2   Download

Lecture "Artificial intelligence - Lesson 3: Informed search" presents the following contents: heuristics; informed Search methods: greedy Best-first search, beam search, uniform-cost search;... We invite you to take a look at the content of the lecture.

46p phuong3676 23-06-2023 4 2   Download

Chapter 4a: Informed search algorithms. The main contents of this chapter include all of the following: Heuristic functions estimate costs of shortest paths, good heuristics can dramatically reduce search cost, greedy best-first search expands lowest h – incomplete and not always optimal, admissible heuristics can be derived from exact solution of relaxed problems.

6p cucngoainhan0 10-05-2022 20 3   Download

Lecture Artificial Intelligence - Chapter 4a: Informed search algorithms. The main contents of this chapter include all of the following: Heuristic functions estimate costs of shortest paths, good heuristics can dramatically reduce search cost, greedy best-first search expands lowest h – incomplete and not always optimal, admissible heuristics can be derived from exact solution of relaxed problems.

36p cucngoainhan0 10-05-2022 11 2   Download

Phát hiện nguồn phát tán thông tin sai lệch trên mạng xã hội trực tuyến đóng vai trò quan trọng trong việc hạn chế hành vi sai trái trên mạng. Trong bài viết này, một mạng xã hội được biểu diễn bởi đồ thị có hướng, mỗi người dùng là một nút trên đồ thị và phát tán thông tin trên đồ thị theo mô hình Bậc độc lập.

8p viplato 05-04-2022 14 4   Download

The first solution approach is based on a non-dominated sorting genetic algorithm improved by a local search heuristic and the second one is the GRASP algorithm (Greedy Randomised Adaptive Search Procedure) with iterated local search heuristics. They are tested on theoretical and real case benchmark instances and compared with the standard NSGA-II. Results are analysed and the efficiency of algorithms is discussed using some performance metrics.

22p toritori 11-05-2020 15 0   Download

This study proposes a hybrid heuristic method based on the Greedy Randomized Adaptive Search Procedure (GRASP) metaheuristic and the Clarke and Wright Savings algorithm, to solve a VRPLC with several loading and routing constraints that have not been considered simultaneously before. Experimental results show that the proposed procedure produces competitive solutions in short processing times. Lastly, the impact of the added operational constraints is also analyzed.

26p toritori 11-05-2020 14 1   Download

For clustering problems based on the model of mixture probability distribution separation, we propose new Variable Neighbourhood Search algorithms (VNS) and evolutionary genetic algorithms (GA) with greedy agglomerative heuristic procedures and compare them with known algorithms. New genetic algorithms implement a global search strategy with the use of a special crossover operator based on greedy agglomerative heuristic procedures in combination with the EM algorithm (Expectation Maximization).

17p danhnguyentuongvi27 19-12-2018 25 0   Download

The paper presents a comparison between three approaches to solving the length-bounded maximum multicommodity flow problem with unit edge-lengths. Following the first approach, Garg and Konemann’s, we developed an improved fully polynomial time approximation scheme for this problem. As the second alternative, we considered the well-known greedy approach.

20p danhnguyentuongvi27 19-12-2018 14 0   Download

The Recursive Largest First (RLF) algorithm is one of the most popular greedy heuristics for the vertex coloring problem. It sequentially builds color classes on the basis of greedy choices. In particular, the first vertex placed in a color class C is one with a maximum number of uncolored neighbors, and the next vertices placed in C are chosen so that they have as many uncolored neighbors which cannot be placed in C.

16p vinguyentuongdanh 19-12-2018 25 1   Download

Combining word alignments trained in two translation directions has mostly relied on heuristics that are not directly motivated by intended applications. We propose a novel method that performs combination as an optimization process. Our algorithm explicitly maximizes the effectiveness function with greedy search for phrase table training or synchronized grammar extraction. Experimental results show that the proposed method leads to significantly better translation quality than existing methods. ...

4p hongphan_1 15-04-2013 43 1   Download

Tổng quan • Tìm kiếm heuristic Tối ưu kiểu “Tham lam” (“Greedy Best-First Search) • Những điểm không thích hợp của tìm kiếm heuristic “Tham lam”. • Mẹo: tính luôn chi phí đi đến trạng thái hiện tại. • Việc tìm kiếm kết thúc khi nào? • Heuristic chấp nhận được • Tìm kiếm A* là đầy đủ • Tìm kiếm A* luôn dừng • Khuyết điểm của A* • Tiết kiệm nhiều bộ nhớ với IDA* (Iterative Deepening A*)...

32p viethung2512 28-09-2011 211 35   Download