--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 ...

Multi-objective genetic algorithm (MOGA) has the advantages of high accuracy, fast solution speed and stronger applicability in multi-objective problem solving and parameter optimization. Many groups ...

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 ...

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 ...