Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management

Abstract

The main objective of this symposium is to bring together researchers and to generate interest in presenting papers on new approaches, in the field of evolutionary algorithms and metaheuristics in civil engineering and construction management. The communications must address evolutionary algorithms and metaheuristics applied in solving optimum design problems in civil engineering [1], construction management [2] and related topics. The evolutionary algorithms are an interdisciplinary research area comprising several paradigms inspired by the Darwinian principle of evolution. The current stage of research considers, among others, the following paradigms: Genetic Algorithms, Genetic Programming, Evolutionary Programming, Evolution Strategies and Differential Evolution, in addition to other metaheuristic paradigms such as Particle Swarm Optimization or Ant Colony Optimization. Applications of these optimization methods in civil engineering and construction management are welcomed, both for mono-objective and multiobjective optimization problems [3]. Topics to be covered (but are not limited to) are: In the area of civil engineering content related to structural design (e.g.: concrete and metal structures)[4], geotechnics, hydraulics, and infrastructure are welcome. In the area of construction management related content can be project management, planning, coordination and control of projects, cost and time management, among others. J. Magalhaes-Mendes and D. Greiner. 2 Development aspects such as including surrogate modelling, parallelization, performance comparisons among methods, are encouraged.