This paper proposes a novel Self-Adaptive algorithm for Multi-Objective Constrained Optimization by using Radial Basis Function Approximations, SAMO-COBRA. The automatically determines the best Function-fit as surrogates objectives well constraints, to find new feasible Pareto-optimal solutions. also uses hyper-parameter tuning on fly improve its local search strategy. In every iteration one so...

When designing a microgrid, developers usually regard economic metrics, and occasionally consider reliability environmental aspects. However, sociopolitical, supply chain, geographical facets, among others, are often never included in project-design because they really difficult to model, especially, the context of developing countries. Traditional planning methodologies offer an optimal soluti...

Pareto frontiers of bicriteria continuous convex problems can be efficiently computed and optimal theoretical performance bounds have been established. In the case mixed-integer problems, approximation frontier becomes, however, significantly harder. this paper, we propose a new algorithm for approximating programs with constraints. Such are composed patches solutions shared assignments discret...

Several recent papers argue that due to the slowing down of Dennard’s scaling of the supply voltage future multicore performance will be limited by dark silicon where an increasing number of cores are kept powered down due to lack of power. Customizing the cores to improve power efficiency may incur increased effort for hardware design, verification and test, and degraded programmability. In th...

General economic equilibrium with incomplete markets and default represents an important tool in competitive economic theory, and has led to fundamental insights into the behavior of real and financial markets. The numerical computation of these models is important for understanding the behavior of the real world economy, and may lead to insights on the effects of regulation and welfare. Howeve...

The increased ability to access repositories of representations of complex objects, such as biological molecules or financial time series, has not been matched by the availability of tools that permit locating them, visualizing their characteristics, and describe them in terms that are close to the language of the intended users of those data collections. The representation methods and organiza...

Hard multi-criteria (MC) problems are computationally intractable problems requiring optimization of more than one criterion. However, the optimization of two or more criteria tends to yield not just one optimal solution, but rather a set of non-dominated solutions. As a result, the evolution of a Pareto-Optimai set of non-dominated solutions from some population of candidate solutions is often...