Performance Analysis of Hill-climbing using Evaluation Based on Distance from Average Solution (EDAS) Method

Abstract

Hill climbing, also known as Mountain climbing, speed climbing or speed climbing Mountain climbing is a branch motorsport in which drivers race against the clock to complete an uphill course. In numerical analysis, hill climbing is a local search A family of mathematical optimization techniques. it is a One that begins with an arbitrary solution to the problem is the process. Alternative: Probability of crossover, Probability of mutation, Maximum iterations, and Population size. Evaluation Preference: SA, GA, MA, ME-BPSO, WAO-CM, LHCMA. From the result it is seen that WAO-CM and is got the first rank whereas is the GA got is having the lowest rank. The value of the dataset for Hill climbing in EDAS method shows that it results in WAO-CM and top ranking.