Swarming theory applied to space trajectory optimization

Keyphrases

• Genetic Algorithm 100%
• Stochastic Methods 100%
• Gradient Method 100%
• Numerical Optimization Methods 100%
• Space Trajectory Optimization 100%
• Number of Atoms 50%
• Older Individuals 50%
• Annealing Process 50%
• Space Trajectories 50%
• Natural Phenomena 50%
• Minimum Time 50%
• Stochastic Approach 50%
• Simulated Annealing Algorithm 50%
• Deterministic Method 50%
• Evolutionary Algorithms 50%
• Propellant Consumption 50%
• Evolutionary Computation 50%
• Differentiability 50%
• Darwin 50%
• Popular Classes 50%
• Ant Colony Optimization 50%
• Convergence Region 50%
• Survival of the Fittest 50%
• Differential Evolution Algorithm 50%
• Consumption Space 50%

Mathematics

• Stochastics 100%
• Genetic Algorithm 66%
• Gradient-Based Method 66%
• Objective Function 33%
• Dependent Problem 33%
• Simulated Annealing Algorithm 33%
• Differentiability 33%
• Evolutionary Algorithm 33%
• Regions of Convergence 33%

Biochemistry, Genetics and Molecular Biology

• Solution and Solubility 100%
• Genetic Algorithm 66%
• Cooperation 33%
• Evolutionary Algorithms 33%