It is an iterative algorithm that starts with an arbitrary solution to a problem and attempts to find a better solution by changing a single element of the solution incrementally. If the change produces a better solution, an incremental change is taken as a new solution. This process is repeated until there are no further improvements.
function Hill-Climbing (problem), returns a state that is a local maximum.
inputs: problem, a problem
local variables: current, a node
neighbor, a node
do neighbor ← a highest_valued successor of current
if Value[neighbor] ≤ Value[current] then
current ← neighbor
Disadvantage: This algorithm is neither complete, nor optimal.
- 8 Key Factors for Building a High-Performing Team in 2024 - September 18, 2023
- Managing Your Projects Effectively: 5 Essential Tips to Follow - September 11, 2023
- Why Cloud Storage Pricing Matters More Than You Think - September 9, 2023