Journal
BEYOND DATABASES, ARCHITECTURES AND STRUCTURES: FACING THE CHALLENGES OF DATA PROLIFERATION AND GROWING VARIETY
Volume 928, Issue -, Pages 467-479Publisher
SPRINGER NATURE SWITZERLAND AG
DOI: 10.1007/978-3-319-99987-6_36
Keywords
Artificial intelligence methods; Collective decision-making problem; Simulation; Optimization; Algebraic-logical meta-model; Design patterns; Hot spot
Funding
- Ministry of Science and Higher Education Republic of Poland [11.11.120.417, 15.11.120.890]
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The aim of the paper is to propose architecture of algorithms module of IT tool, names Solver ALMM. It is framework for solving collective decision-making problems. The solver belongs to the group of applications based on specialized problem model, which provides solutions (exact or approximate) for NP-hard of discrete optimization problems using artificial intelligence methods. It is based on the methodology of algebraic-logical meta-model of discrete decision processes. The article presents principles of cooperation Algorithm Module with the other components. Also hot spots as specific locations for SimOpt framework extension are presented.
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