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A New Approach Meta-heurestics Optimization Techniques to Solve Multi Objective Optimal Power Flow Problems multi objective optimal power flow (MOOPF). A Slime Mould Algorithm (SMA) is one of the new stochastic

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

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