A multiobjective optimization problem involves several conflicting objectives and has a set of
Pareto optimal solutions. By evolving a population of solutions, multiobjective evolutionary …

Due to significant industrial demands toward software systems with increasing complexity
and challenging quality requirements, software architecture design has become an …

Hardware/software codesign investigates the concurrent design of hardware and software
components of complex electronic systems. It tries to exploit the synergy of hardware and …

In the multimodal multi-objective optimization problems (MMOPs), there may exist two or
multiple equivalent Pareto optimal sets (PS) with the same Pareto Front (PF). The difficulty of …

Many machine learning tasks involve solving complex optimization problems, such as
working on non-differentiable, non-continuous, and non-unique objective functions; in some …

As one of the classical problems in the economic market, the newsvendor problem aims to
make maximal profit by determining the optimal order quantity of products. However, the …

In dealing with the expensive multiobjective optimization problem, some algorithms convert
it into a number of single-objective subproblems for optimization. At each iteration, these …

As embedded systems grow more complex and as new applications such as IoT require
many design constraints, sophisticated design space exploration techniques are essential in …

Embedded multimedia systems often run multiple time-constrained applications
simultaneously. These systems use multiprocessor systems-on-chip of which it must be …

Many real-world problems involve the simultaneous optimization of several competing
objectives and constraints that are difficult, if not impossible, to solve without the aid of …