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. Topics algorithms leetcode cpp Resources Re...
AI代码解释 begin2:S:="∅";S̅:=N;3:d(i):=∞foreach node i∈N;4:d(s):=0andpred(s):=0;5:while|S|<n do6:begin7:leti ∈S̅ be a nodeforwhichd(i)=min{d(j):j ∈S̅};8:S:=S∪{i};9:S̅:=S̅–{i};10:foreacharc(i,j)∈A(i)do11:ifd(j)>d(i)+...
Step (3): Use the fitness function to calculate the selection probability of the parent solutions and the offspring solutions generated through the roulette wheel selection algorithm (Goldberg, 1989): Px=fx−fminΨ/∑fx−fminΨ,wherex∈Ψ. ...
Algorithms are widely used throughout all areas of IT. In mathematics, computer programming and computer science, an algorithm usually refers to a small procedure that solves a recurrent problem. Algorithms are also used as specifications for performing data processing and play a major role in autom...
The solution space according to the external constraints consists of 4 to the power 4, 4-tuples i.e.,Si = {1, 2, 3, 4}and1<= I <=4, whereas according to the internal constraints they consist of4!solutions i.e., permutation of4. ...
Consider the use of the algorithm in the form of online therapy Learn more about algorithms in therapy Takeaway Overall, algorithms in psychology offer many potential benefits, including improved accuracy at solving problems and personalization of therapy recommendations. However, there are also signif...
Since metaheuristics can solve multiple-objective multiple-solution and nonlinear formulations, they are employed to find high-quality solutions to an ever-growing number of complex real-world problems, such as the combinatorial ones. Evolutionary techniques, like Genetic Algorithms (GA) and Ant Colony...
To overcome the disadvantages of premature convergence and easy trapping into local optimum solutions, this paper proposes an improved particle swarm optimization algorithm (named NDWPSO algorithm) based on multiple hybrid strategies. Firstly, the elite opposition-based learning method is utilized to init...
Advantage: Many state-of-the-art algorithms demonstrate adaptability and effectiveness in addressing specific challenges, such as technical-environmental-economical dispatch problems, making them versatile solutions. 2. Improved Performance Metrics: Advantage: Several methodologies exhibit superior performance in...
Just like GWO, a set of whales are considered as the candidate solutions for a given optimization problem. Their positions are updated using two mechanisms: encircling prey and spiral movement. The former method is similar to that in GWO, while in the latter approach, a spiral equation is ...