Distributed constraint optimization (DCOP) provides a framework for coordinated decision making by a team of agents. Often, during the decision making, capacity constraints on agents’ resource consumption must be taken into account. To address such scenarios, an extension of DCOPResource Constrained DCOPhas been proposed. However, certain type of resources have an additional structure associate...

The resource reallocation problem requires multi-agent choices under multiple-criteria, most of which are based on qualitative attributes. The conditional specification of a reallocation request (e.g., requiring a swap for one workstation with another) results in chains of reallocation transactions, which increase in complexity with the number of resources and agents. Also, the initial intentio...

The resource reallocation problem requires multi-agent choices under multiple-criteria, most of which are based on qualitative attributes. The conditional specification of a reallocation request (e.g., requiring a swap for one workstation with another) results in chains of reallocation transactions, which increase in complexity with the number of resources and agents. Also, the initial intentio...

Operations research, optimization, constraint programming, hybrid solution methods, decision Handbook of Semidefinite, Cone and Polynomial Optimization:. Learning Outcomes. On successful completion of this module, the student should: Have a working knowledge of the techniques employed in a modern constraint. Constraint-based scheduling: applying constraint programming to scheduling Implementati...

Proof-search (the basis of logic programming) with multiplicative inference rules, such as linear logic's R and OL, is problematic because of the required non-deterministic splitting of resources. Similarly , searching with additive rules such as NL and R requires a non-deterministic choice between two formulae. Many strategies which resolve such non-determinism, either locally or globally, are...

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In this paper we present resource optimization methods for solving efficiently synthesis problems in a constraint-based framework. We obtain a tight lower bound of the problem optimum by adding redundant constraints that take into account the "wastage" in a partial solution. Abstraction through focusing on relevant features permits added interchangeability to deal with equivalent sets of partia...

Authorship classification is a method of automatically determining the appropriate author an unknown linguistic text. Although research on authorship has significantly progressed in high-resource languages, it at primitive stage realm resource-constraint languages like Bengali. This paper presents approach made Convolution Neural Networks (CNN) comprising four modules: embedding model generatio...