The multiobjective testing resource allocation problem (MOTRAP) is how to efficiently allocate the finite time various modules, with aim of optimizing system reliability, cost, and simultaneously. To deal this problem, a common approach use evolutionary algorithms (MOEAs) seek set tradeoff solutions between three objectives. However, such may contain substantial proportion very low reliability level, which consume lots computational resources but be valueless software project manager. In...

In spread spectrum (SS) based robust audio watermarking, the scaling parameter is an important factor for balancing between robustness and imperceptibility. There have been intense studies of embedded optimization in light signal-to-noise ratio (SNR), but little attention has given to constrained SNR. Moreover, traditional population-based stochastic search algorithms optimizing significantly increase computation pressure corresponding watermarking schemes. This paper comprehensively...

In software testing, optimal testing resource allocation problems (OTRAPs) are important when seeking a good tradeoff between reliability, cost, and time with limited resources. There have been intensive studies of OTRAPs using multiobjective evolutionary algorithms (MOEAs), but little attention has paid to the constraint handling. This paper comprehensively investigates effect handling on performance nondominated sorting genetic algorithm II (NSGA-II) for solving OTRAPs, from both...

Structural optimization is an important tool for structural designers that helps them to find innovative design solutions and forms with a better exploitation of materials as well decreased self-weight minimum material costs. In this article, procedure coupling the influence matrix method genetic algorithms optimize stay cables in cable-stayed bridges presented. Following that, utilized preliminary twin towers double-cable planes bridge be located Ferrara, Italy. The cable cross-sectional...

AbstractA shell-supported footbridge was designed by shaping an anticlastic membrane in compression between deck and foundations. Since it would be subject to biaxial compression, appropriate made of concrete because strength could exploited crack propagation prevented. With reference Musmeci's work, a form-finding algorithm shaped the shell as tension structure with same loads, restraint reactions internal normal forces, but opposite sign. Using finite element (FE) model shell, unwished...

As a structural optimization technique, topology is an important tool for helping designers to determine the most suitable shape of structure. With this powerful tool, can define families candidate solutions by modifying input volume reduction (VR) ratio, reducing weight as much possible. However, finding best compromise between material savings and performance among these critical issue designers. To deal with issue, index (OI) presented in paper. It provides mathematical procedure that...

Structural optimization has become an important tool for structural designers. It helps the designers to find optimal design solutions with better exploitation of materials subject various constraints. In this article, face critical issue huge horizontal thrust occurred in Calatrava bridge over Grand Canal Venice, single-objective and multi-objective genetic algorithm (GA) based procedures are set up, thickness is carried out separately proposed module implemented ANSYS. The results compared...

The science of catastrophic risk modeling helps people to understand the physical and financial implications natural catastrophes (hurricanes, flood, earthquakes, etc.), terrorism, risks associated with changes in life expectancy. As such it depends on simulation techniques that integrate multiple disciplines as meteorology, hydrology, structural engineering, statistics, computer science, actuarial more virtually every field technology. In this paper we will explain underlying assumptions...

Coalition formation has been a fundamental form of resource cooperation for achieving joint goals in multiagent systems. Most existing studies still focus on the traditional assumption that an agent to contribute its resources all goals, even if is not interested goal at all. In this article, natural extension coalitional games (CRGs) studied from both theoretical and empirical perspectives, which each uncompromising, personalized preferences over goals. Specifically, new CRGs model with...

The science of catastrophic risk modeling helps people to understand the physical and financial implications natural catastrophes (hurricanes, flood, earthquakes, etc.), terrorism, risks associated with changes in life expectancy. As such it depends on simulation techniques that integrate multiple disciplines as meteorology, hydrology, structural engineering, statistics, computer science, actuarial more virtually every field technology. In this paper we will explain underlying assumptions...

The multi-objective testing resource allocation problem (MOTRAP) is concerned on how to reasonably plan the time of software testers save cost and improve reliability as much possible. feasible solution space a MOTRAP determined by its variables (i.e., invested in each component) constraints (e.g., pre-specified reliability, cost, or time). Although variety state-of-the-art constrained optimisers can be used find individual solutions this space, their search remains inefficient expensive due...

Earthquakes pose significant risks to life and property, making their prediction a crucial challenge. Traditional approaches earthquake suffer from limited generalization capabilities due the influence of specific seismic zone characteristics struggle with imbalanced data management. Previous research has primarily relied on explicit indicators designed by geologists or implicitly extracted feature vectors using deep learning techniques. However, effective fusion methods for utilizing...