Optimization techniques are among the most promising methods to deal with real-world
problems, consisting of several objective functions and constraints. Over the decades, many …

Software systems nowadays are complex and difficult to maintain due to continuous
changes and bad design choices. To handle the complexity of systems, software products …

Abstract After using Evolutionary Algorithms (EAs) for solving multiobjective optimization
problems for more than two decades, the incorporation of the decision maker's (DM's) …

This research presents a decision support methodology for the multi-criteria supplier
selection and order allocation problem. The proposed approach supports purchasing …

There is a growing need for scalable search-based software engineering approaches that
address software engineering problems where a large number of objectives are to be …

Search-based software engineering (SBSE) solutions are still not scalable enough to handle
high-dimensional objectives space. The majority of existing work treats software engineering …

The Point Merge System (PMS) is one of the approaches that offer systematic sequencing in
terminal maneuver area (TMA) which was developed at the EUROCONTROL Experimental …

Bayesian optimization is often used to optimize expensive black box optimization problems
with long simulation times. Typically Bayesian optimization algorithms propose one solution …

Nowadays, software systems are complex and large. To cope with this situation, teams of
developers have to cooperate and work in parallel on software models. Thus, techniques to …

List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …