Optimization - Topics

How to compress images without visible quality loss NSGA-II for multi-objective problems with conflicting objectives Greedy vs dynamic programming: how to tell which one fits the problem Genetic algorithm: chromosome encoding choices that decide success Running evolutionary search on a cluster without burning CPU-years Hyperparameter search: grid vs random vs Bayesian optimization Tuning fuzzy rules with genetic algorithms Fuzzy rule base explosion as input variables multiply Reinforcement learning: reward shaping vs sparse rewards Particle swarm optimization and the problem of converging too early Evolution strategies scale better than genetic algorithms for continuous control No free lunch theorem and what it means for benchmark claims Fitness function design when one evaluation costs hours of simulation Ant colony optimization for routing and job scheduling Crossover vs mutation rates: why 0.7 and 0.01 became folklore Learning rate schedules: warmup and cosine decay in practice Premature convergence and how niching preserves population diversity Constraint satisfaction viewed as a knowledge representation problem How one adjoint solve yields the gradient that a thousand simulations would