# local beam search

> heuristic local search algorithm

**Wikidata**: [Q58945661](https://www.wikidata.org/wiki/Q58945661)  
**Source**: https://4ort.xyz/entity/local-beam-search

## Summary
Local beam search is a heuristic local search algorithm used for problem-solving. It is classified as a subclass of both local search and beam search methods. The algorithm operates within the domain of optimization.

## Key Facts
*   **Classification:** Local beam search is a heuristic local search algorithm.
*   **Parent Class (Local Search):** It is a subclass of local search, which is a method for problem solving in optimization.
*   **Parent Class (Beam Search):** It is a subclass of beam search, a heuristic search algorithm.
*   **Algorithm Type:** It functions as a heuristic algorithm.
*   **Domain:** It is utilized for problem solving within the context of optimization.

## FAQs
### Q: What type of algorithm is local beam search?
A: Local beam search is defined as a heuristic local search algorithm. It combines elements of both local search and beam search strategies.

### Q: What is the relationship between local beam search and optimization?
A: Local beam search is a method used for problem solving specifically within the field of optimization.

### Q: What are the parent classes of local beam search?
A: The algorithm is a subclass of both "local search" and "beam search."

## Why It Matters
Local beam search matters because it represents a specific heuristic approach to solving complex optimization problems. By existing as a subclass of local search, it contributes to the broader set of methods used to solve problems where the goal is to find the best solution from a set of feasible alternatives. Its dual classification as a subclass of beam search indicates that it utilizes heuristic strategies to manage memory and search space efficiently. This intersection of local and beam search methodologies makes it a distinct tool in the optimization landscape.

## Notable For
*   Being a distinct subclass of the **local search** optimization method.
*   Being a distinct subclass of the **beam search** heuristic algorithm.
*   Functioning specifically as a **heuristic local search algorithm**.
*   Serving as a method for **problem solving in optimization**.

## Body
### Classification and Hierarchy
Local beam search is formally classified as a heuristic local search algorithm. It occupies a specific position in the taxonomy of search algorithms, sitting at the intersection of two prominent classes:
*   **Local Search:** Local beam search is a subclass of local search. Local search is broadly defined as a method for problem solving in optimization.
*   **Beam Search:** Local beam search is a subclass of beam search. Beam search is defined as a heuristic search algorithm.

### Function and Application
As a heuristic algorithm, local beam search is designed to solve problems more quickly than traditional methods that might exhaustively search a space. It is applied specifically to optimization tasks, aiming to improve candidate solutions iteratively.

## References

1. [Beam Search. Indian Institute of Technology Bombay](https://www.cse.iitb.ac.in/~cs344/2011/slides/cs344-beam-search-2feb11.pptx)