Experimental evaluation of pheromone models in ACOPlan

DOI10.1007/s10472-011-9265-7zbMath1253.68294OpenAlexW2018547205MaRDI QIDQ421472

Valentina Poggioni, Alfredo Milani, Marco Baioletti, Fabio Rossi

Publication date: 23 May 2012

Published in: Annals of Mathematics and Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10472-011-9265-7

zbMATH Keywords

ant colony optimizationautomated planning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20) Approximation algorithms (68W25) Randomized algorithms (68W20)

Related Items (1)

A novel ant colony optimization strategy for the quantum circuit compilation problem

Uses Software

• Walksat
• Graphplan
• SAPA
• LPG

Cites Work

• Linear temporal logic as an executable semantics for planning languages
• The computational complexity of propositional STRIPS planning
• Fast planning through planning graph analysis
• Using temporal logics to express search control knowledge for planning
• Planning as heuristic search
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