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The research aims to develop a hybrid optimization technique to design minimum-fuel trajectories for lunar missions.

January 22, 2026AlgorithmsOpen Access

Hybrid Optimization Technique for Finding Efficient Earth–Moon Transfer Trajectories

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Hybrid optimization technique generates efficient transfer trajectories for lunar missions, indicating robust design for space missions.

The research aims to develop a hybrid optimization technique to design minimum-fuel trajectories for lunar missions.
Implemented a two-stage hybrid optimization scheme combining Genetic Algorithm and Sequential Quadratic Programming
First stage employs Genetic Algorithm as a global search for feasible trajectory solutions
Second stage refines initial guesses with Sequential Quadratic Programming for high-precision results
Hybrid optimization generates mission-grade quality trajectories satisfying stringent constraints
Demonstrated significant reduction in propellant consumption
Validated effectiveness in navigating the complex multi-body gravitational environment

Casalino et al. (2026) studied this question.

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