Agreedy algorithmis an algorithmic paradigm that follows the problem-solving heuristic of making the locally optimal choice at each stage with the hope of finding a global optimum. Following are commonly asked greedy algorithm problems in technical interviews: Activity Selection Problem Given a set of...
It is well known that the greedy algorithm minimizes \\\( \\\sumolimits_{i \\\in A} {{C_i}} \\\) subject to A ∈ ß where ß is the set of bases of a matroid and C i is the deterministic cost assigned to element i . In this paper, we consider the case that C i ar...
The whale optimization algorithm has received much attention since its introduction due to its outstanding performance. However, like other algorithms, the whale optimization algorithm still suffers from some classical problems. To address the issues of
To enhance the exploitation ability of the algorithm, the mutation operator is integrated with an iterated greedy algorithm. A variable neighborhood strategy based on insert neighborhood structure and block neighborhood structure is adopted to locate the best solution in the vicinity of the current ...
This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The problems attempted multiple times are labelled with hyperlinks.
Dr. McCaffrey this month presents a greedy algorithm as a solution to the graph maximum clique problem, which is to find the largest group of nodes in a graph that are all connected to one another. He explains how to design and test these algorithms to solve the problem....
A self-escape mechanism is further implemented on the obtained complete routes from the first stage to prevent the probe-based search from being trapped in a locally optimal solution. A statistical analysis is conducted to validate the computed results of our proposed algorithm against the other ben...
On the other hand, contains powers of , while has none. This represents the (multi-)set of primes one has to redistribute in order to convert a factorization of to a factorization of . Using a greedy algorithm, one can match a -heavy prime to each -heavy prime (counting multiplicity)...
As a newly proposed optimization algorithm based on the social hierarchy and hunting behavior of gray wolves, grey wolf algorithm (GWO) has gradually become a popular method for solving the optimization problems in various engineering fields. In order to further improve the convergence speed, solution...
Naderi, B., Rahmani, S., Rahman, S.: A Multiobjective Iterated Greedy Algorithm for Truck Scheduling in Cross-Dock Problems. Journal of Industrial Engineering, Article ID 128542, 12 pages (2014)Naderi, B., Rahmani, S., Rahman, S.: A Multiobjective Iterated Greedy Algorithm for Truck ...