The algorithm and flowchart are two types of tools to explain the process of a program. This page extends the differences between an algorithm and a flowchart,and how to create your own algorithm and
The main contribution of this paper is the proposition of a novel metaheuristic algorithm in which the strategies and rules of the Squid Game as one of the Korean ancient games are used as the inspirational concept. The applicability of this algorithm in dealing with different kinds of optimizatio...
Flowchart of mAHA algorithm. Full size image Algorithm 2 Pseudo-code of the proposed mAHA algorithm. Full size image Application of mAHA: optimal power flow and generation capacity Formulizing OPF mathematically Optimizing the power system's control variables allows the objective function of the OPF ...
Flowchart of the ELM-HHO approach Full size image Table 1 Lower and upper bounds of the ELM-HHO model parameters Full size table 4.1 Preparing data Data cleansing and normalisation are the essential initial steps to be taken in any forecasting task. In our methodology, first the noisy values ...
Fig. 1. Flowchart for the proposed IMOA-star. Path length objective The goal is to create a path that is as short as possible, hence the path length is a goal to be minimized. The evaluated euclidean distance between the extreme points of a segment is its length. Where the euclidean di...
The flowchart of CMASA was showed in Figure1. First, the CMASA parsed the query and decided whether the query search the nrPDB/the nrSCOP or the nrCSA database. Second, the CMASA used substitute matrix to emulate all candidate matches. Third, the CMASA used Contact Matrix Average Deviatio...
The flowchart of CCWFSSE Full size image Figure5reveals the operating flowchart of this algorithm in details. The CCWFSSE pseudocode is shown in Algorithm. 1. Lines 11–16 represent the process that sortsXand selects the appropriate point. Subsequently, we generate the neighborhood point. As sho...
Figure 1. Flowchart of the GOA. Figure 2. Boxplots of the GOA and competitor algorithms on F1 to F23 test functions. Figure 3. Convergence curves of the GOA and competitor algorithms on F1 to F23 test functions. Figure 4. Boxplots of the GOA and competitor algorithms on the CEC 2017 ...
Figure 2. Algorithm flowchart. (1) Initialize the parameters of the algorithm, and initialize the ant colony scale 𝑚m, pheromone importance factor 𝛼α, heuristic function importance factor 𝛽β, total pheromone release 𝜃θ, and maximum number of iterations (itermax). The algorithm runs...
Accept all cookies details Abstract Numerous users are experiencing unsafe communications due to the growth of big network mediums, where no node communication is detected in emergency scenarios. Many people find it difficult to communicate in emergency situations as a result of such communications. In...