In previous work, a neural network was used to increase the number of solutions found by an evolutionary multiobjective optimization algorithm. In this paper, various approaches a...
Interactive evolutionary computation (IEC) has proven useful in a variety of applications by combining the subjective evaluation of a user with the massive parallel search power o...
Sean R. Szumlanski, Annie S. Wu, Charles E. Hughes
Abstract. The error-prone process of formal specification and verification of large systems requires an efficient, evolutionary formal development approach. Development graphs have...
Abstract—In future massively distributed service-based computational systems, resources will span many locations, organisations and platforms. In such systems, the ability to all...
In this paper we propose to use a distance metric based on user-preferences to efficiently find solutions for many-objective problems. In a user-preference based algorithm a decis...