Stopping Criteria for Single-Objective Optimization (2009)
Karin Zielinski, Dagmar Peters, Rainer Laur
In most literature dealing with evolutionary algorithms the stopping criterion consists of reaching a certain number of objective function evaluations (or a number of generations, respectively). A...
Constrained Multi-Objective Optimization Using Differential Evolution (2009)
Karin Zielinski, Dagmar Peters, Rainer Laur
Most real-world optimization problems include multiple objective functions and several constraints. The Differential Evolution algorithm was initially developed for unconstrained single-objective...
Stopping Criteria for a Constrained Single-Objective Particle Swarm Optimization Algorithm (2007)
criteria
Karin Zielinski, Dagmar Peters, Rainer Laur
Abstract. Due to the growing complexity of todays technical systems optimization is becoming an important issue within the design phase. The applicability of optimization algorithms in automatic...