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Advanced Search Techniques in AI: From Uninformed to Heuristic Methods

Year: 2025

Type: article

Abstract: Artificial Intelligence (AI) utilizes different search methods to effectively solve intricate problems. This article delves into advanced methods for searching, including uninformed strategies like breadth-first and depth-first search, as well as heuristic-based techniques such as A* and greedy search. The research examines the pros and cons of each approach, their uses, and latest developments. The study emphasizes the effectiveness of heuristic methods in finding better solutions, particularly in extensive and intricate problem domains.

Source: International Journal of Innovative Research in Computer and Communication Engineering

DOI: 10.15680/ijircce.2025.1303093

Authors: V. Geetha, C.K. Gomathy, Mr Neeraja Pranathi, Sreesa Sarma

Institution: Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya

Language: English

Topic: AI-based Problem Solving and Planning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4409384898

FWCI:

Cites: 16

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Related to: 10