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In transportation planning and development, transport network design problemseeks to optimize specific objectives (e.g. total travel time) through choosingamong a given set of projects while keeping consumption of resources (e.g.budget) within their limits. Due to the numerous cases of choosing projects,solving such a problem is very difficult and time-consuming. Based on particleswarm optimization (PSO) technique, a heuristic solution algorithm for thebi-level problem is designed. This paper evaluates the algorithm performance inthe response of changing certain basic PSO parameters.

Parameter Selection In Particle Swarm Optimization For Transportation Network Design Problem