Genetic algorithm of network graph multi-objective optimization as an instrument of project monitoring of
multi-objective optimization in project management with reference to network graphs. The significant
Genetic algorithm of network graph multi-objective optimization as an instrument of project monitoring of
multi-objective optimization in project management with reference to network graphs. The significant
Optimization problems for distribution of resources in spatial systems be taken into account. This approach leads to a two-
objective optimization problem, which involves non
Optimization problems for distribution of resources in spatial systems be taken into account. This approach leads to a two-
objective optimization problem, which involves non
The Multi-Objective Optimization of Complex Objects Neural Network Models; the practicability of applying evolutionary approach
to solve this problem has been justified. Findings: The
multi-objective Vector resource allocation problems in communication networksWe consider a problem of
optimal allocation of a homogeneous resource in spatially distributed
Multi criteria optimization of mechatronic system based on equilibrium-arbitrary compromise to calculate parameters of this system. This algorithm is based on
optimization control methods of
multi object Vector resource allocation problems in communication networksWe consider a problem of
optimal allocation of a homogeneous resource in spatially distributed
Electric Propulsion Systems Design Supported by Multi-Objective Optimization Strategies, the present publication introduces an integrated
multi-objective optimization strategy for the effective