The popularity of metaheuristics, especially Swarm Intelligence and Evolutionary Algorithms, has increased rapidly over the last two decades. Numerous algorithms are proposed each year, and progressively more novel applications are being found. However, different metaheuristics are often compared by their performance on problems with an arbitrarily fixed number of allowed function calls. There ...

This work arises from the research of the Metaheuristics Network on the University Course Timetabling Problem. In a first phase straightforward implementations of different metaheuristics were compared on a common local search framework [4]. In a second phase problem specific knoweldge was exploited and several alternatives for local search and metaheuristics were considered. Many possibilities...

This study deals with performance-based design optimization (PBDO) of steel moment frames employing four different metaheuristics consisting of genetic algorithm (GA), ant colony optimization (ACO), harmony search (HS), and particle swarm optimization (PSO). In order to evaluate the seismic capacity of the structures, nonlinear pushover analysis is conducted (PBDO). This method is an iterative ...