Complexity and variety of modern multiobjective optimisation problems result in the
emergence of numerous search techniques, from traditional mathematical programming to …

With modern requirements, there is an increasing tendency of considering multiple
objectives/criteria simultaneously in many Software Engineering (SE) scenarios. Such a …

Balancing between the optimization of objective functions and constraint satisfaction is
essential to handle constrained multi-objective optimization problems (CMOPs). Recently …

Placement of optimally sized distributed generator (DG) units at optimal locations in the
radial distribution networks can play a major role in improving the system performance. The …

Evolutionary algorithms have been shown to be very effective in solving complex
optimization problems. This has driven the research community in the development of novel …

Modern software development builds on external Web services reuse as a promising way
that allows developers delivering feature-rich software by composing existing Web service …

Hypervolume (HV) and inverted generational distance (IGD) have been frequently used as
performance indicators to evaluate the quality of solution sets obtained by evolutionary …

Abstract Multiple Criteria Decision-Making (MCDM) methods are widely used in research
and industrial applications. These methods rely heavily on expert perceptions and are often …

In data center companies, cloud computing can host multiple types of heterogeneous virtual
machines (VMs) and provide many features, including flexibility, security, support, and even …

Traveling Salesman Problems (TSPs) have been a long-lasting interesting challenge to
researchers in different areas. The difficulty of such problems scales up further when …