--MicroAlgo Inc.,, today announced the introduction of an innovative solution: a multi-simulator collaborative algorithm based on subgraph isomorphism, aimed at overcoming the limitations of qubit ...

The presented approach employs a genetic algorithm (GA) ... A. (2025) Probabilistic Assessment of PV-DG for Optimal Multi-Locations and Sizing Using Genetic Algorithm and Sequential-Time Power Flow.

In this paper, we propose a multi-objective genetic algorithm for effectively solving multistage-based job processing schedules in FMS environment. The proposed method is random-weight approach to ...

Zhao et al. (2014) optimized the effect of casing grooves on NASA rotor 37 based on radial basis function neural network (RBFNN) and a multi-objective evolutionary algorithm. In order to improve ...

These results verify that the multi-objective optimization design method combining the MRGP approximate model and ... Comparison of streamline diagram (C) Flow chart of ... and Aydin, H. (2015).

Abstract: A Multi-Objective Genetic Algorithm (MOGA) designed to solve the Multi-Commodity Flow Problem (MCFP) with the aim of improving network efficiency is presented. This work improves on our ...

M. S. Kumari, “Enhanced Genetic Algorithm Based Computation Technique for Multi-Objective, Optimal Power Flow Solution,” Electrical Power and Energy Systems, Vol. 32, No. 6, 2010, pp. 736-742. has ...