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Προγραμματισμός Ακεραίων με βάση Πράκτορες×Ακέραιος Προγραμματισμός×
ΠεδίοΠροσομοίωσηΒελτιστοποίηση
ΟικογένειαProcess / pipelineProcess / pipeline
Έτος προέλευσης1990s–2000s1958
ΔημιουργόςEmerged from multi-agent systems and operations research communitiesRalph Gomory (cutting planes, 1958); land-and-doig branch-and-bound (1960)
ΤύποςHybrid simulation-optimizationMathematical optimisation — exact combinatorial method
Θεμελιώδης πηγήWooldridge, M. (2009). An Introduction to MultiAgent Systems (2nd ed.). Wiley. ISBN: 9780470519462Wolsey, L.A. (1998). Integer Programming. Wiley. ISBN: 9780471283669
Εναλλακτικές ονομασίεςABIP, Agent-based IP, Multi-agent integer programming, ABM-IPIP, MIP, mixed-integer programming, mixed-integer linear programming
Συναφείς34
ΣύνοψηAgent-Based Integer Programming (ABIP) couples the behavioral richness of agent-based modeling with the combinatorial rigor of integer programming. Individual agents pursue local objectives while a global IP solver enforces discrete feasibility constraints, enabling realistic modeling of multi-actor systems where decisions must be integer-valued — such as resource allocation, scheduling, and network design under emergent interaction effects.Integer programming (IP), also called mixed-integer programming (MIP) when only some variables are restricted to whole numbers, is a branch of mathematical optimisation in which some or all decision variables must take integer or binary values. Building on linear programming, it was formalised through Ralph Gomory's cutting-plane method (1958) and the Land-and-Doig branch-and-bound algorithm (1960), and it has since become the standard exact framework for scheduling, assignment, routing, and resource-allocation problems.
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ScholarGateΣύγκριση μεθόδων: Agent-based integer programming · Integer Programming. Ανακτήθηκε στις 2026-06-15 από https://scholargate.app/el/compare