Title
Almm Solver For Combinatorial And Discrete Optimization Problems - Idea Of Problem Model Library
Abstract
The paper presents results of further research on a software tool named ALMM Solver. The objective of the ALMM Solver is to solve combinatorial and discrete optimization problems including NP-hard problems.The solver utilizes a modeling paradigm named Algebraic Logical Meta Model of Multistage Decision Processes (ALMM of MDP) and its theory.The ALMM of MDP enables a unified approach to creating discrete optimization problem models and representing knowledge about these problems. The models are stored in a Problem Model Library.A new, extended modular structure of the ALMM Solver is presented together with a basic layout of the Problem Model Library.
Year
DOI
Venue
2016
10.1007/978-3-662-49381-6_44
Intelligent Information and Database Systems, ACIIDS 2016, Pt I
Keywords
Field
DocType
Solver, Optimizer, Algebraic-LogicalMeta-Model (ALMM), Multistage decision process, Discrete optimization problems, Scheduling problem, Software tool, Library of models
Software tool,Mathematical optimization,Job shop scheduling,Discrete optimization,Computer science,Quadratic assignment problem,Combinatorial optimization,Solver,Discrete optimization problem,Optimization problem
Conference
Volume
ISSN
Citations 
9621
0302-9743
3
PageRank 
References 
Authors
0.46
7
2
Name
Order
Citations
PageRank
Ewa Dudek-Dyduch16610.30
Slawomir Korzonek230.79