MOTIVATION There recently has been great interest in aligning protein-protein interaction (PPI) networks to identify potentially orthologous proteins between species. It is thought that the topological information contained in these networks will yield better orthology predictions than sequence similarity alone. Recent work has found that existing aligners have difficulty making use of both top...

Many real-world optimization problems involve several conflicting objectives that must be optimized simultaneously. Furthermore, most optimization problems have a dynamic structure and change over time. In addition to trying to establish trade-offs among conflicting objectives and explore a diverse set of solutions on a Pareto-optimal front, a dynamic multi-objective optimization (DMOO) algorit...

Harvesting of living resources involves conflicting objectives between profits, human consumption, population sustainability and ecological impacts. These trade-offs are often complex, as harvesting affects demography and productivity of wild populations immersed in rich ecological interactions, and consequences may extend to the evolutionary dimension. In a life-history model of a commercially...

In this work we study a routing and scheduling problem for home care business. The is composed of two conflicting objectives, therefore it as bi-objective one. We obtain the Pareto frontier small size instances using AUGMECON2 method and, bigger cases, developed an heuristic algorithm. also obtained some preliminary results that show algorithm has good behaviour.

In any manufacturing system, the cost is considered to be the most significant factor and the reliability of any industrial system is also an increasingly important issue. On the other hand the available information about the constituent components of the system is most of the time imprecise, incomplete, vague and conflicting and the management decisions are based on experience. So it is very d...

In this paper multi-objective genetic algorithms are employed for Pareto approach optimization of ideal Turboshaft engines. In the multi-objective optimization a number of conflicting objective functions are to be optimized simultaneously. The important objective functions that have been considered for optimization are specific thrust 0 ( / ) & F m , specific fuel consumption ( P S ), output sh...

This study examined the relationship between two sources of interference in human information processing: the Stroop effect and the Simon effect. Forty subjects pressed a leftor right-hand key in response to a Stroop color word located on the left or right side of a screen. For one group, ink color was the relevant cue and, for another group, word meaning was the relevant cue. Independent varia...

This paper focuses on service deployment optimization in cloud computing environments. In a cloud, an application is assumed to consist of multiple services. Each service in an application can be deployed as one or more service instances. Different service instances operate at different quality of service (QoS) levels depending on the amount of computing resources assigned to them. In order to ...

Wireless sensor networks (WSNs) applications are often required to balance the tradeoffs among conflicting operational objectives (e.g., latency and power consumption) and operate at an optimal tradeoff. This chapter proposes and evaluates a biologically-inspired architecture, called BiSNET/e, which allows WSN applications to overcome this issue. BiSNET/e is designed to support three major type...

The importance of XML as a universal data representation format has led to several efforts to integrate XML as a construct in a programming language. There has been growing interest in the addition of update operations in these languages, for example, to languages such as XQuery [20] and XJ [8]. These update operations (whether the semantics are mutating or value-based) support concise and decl...