We develop a multi-objective model for resource allocation problem in PERT networks with exponentially or Erlang distributed activity durations, where the mean duration of each activity is a non-increasing function and the direct cost of each activity is a non-decreasing function of the amount of resource allocated to it. The decision variables of the model are the allocated resource quantities...

Web service location allocation problem is an important problem in the modern IT industry. In this paper, the two major objectives, i.e. deployment cost and network latency, are considered simultaneously. In order to solve this new multi-objective problem effectively, we adopted the framework of binary Particle Swarm Optimization (PSO) due to its efficacy that has been demonstrated in many opti...

The Linear Shelf Space Allocation Problem (LiSSAP) consists on allocating lengths of shelves in a given shop to specific products or groups of products. Previously we gave the first steps towards the development of a commercially viable tool that used evolutionary computation to address the problem. In this paper we take a multiobjective approach which we consider more suitable to the problem, ...

The problem of assigning gates to arriving and departing flights is one of the most important problems in airport operations. We take into account the real multi-criteria nature of the problem by optimizing a total of nine gate allocation objectives that are oriented both on convenience for airport/airline services and passenger comfort. As far as we are aware, this is the largest number of obj...

With the ever increasing number of functional similar web services being available on the Internet, the market competition is becoming intense. Web service providers realized that good Quality of Service (QoS) is a key of business success and low network latency is a critical measurement of good QoS. Because network latency is related to geometric location, a straightforward way to reduce netwo...

Redundancy allocation is a widely used method for the reliability improvement of complex embedded systems in the automotive domain. The allocation of redundant components can affect other nonfunctional quality attributes of the system, which are as important as reliability and very often conflicting with each other, such as cost and response time. Consequently, to find the good system design op...

Abstract Under the management pattern of enterprises group sales, how to assign all market orders reasonably and optimally within member enterprises is one of the important aspects that enterprises group has to study. On the basis of summary of the order allocation principles of enterprises group, a multi-objective optimization model is established to rationally allocate the order, maximize the...

A resource allocation problem (RAP) is encountered in a variety of areas in operations research and management science. It is generally treated as a combinatorial optimization problem, where a limited amount of resources are to be allocated to certain number of competitive events in order to achieve the most effective allotment of the resources. An RAP usually contains a huge number of integer ...

This paper presents a multi-objective order allocation planning problem with the consideration of various real-world production features. A novel hybrid intelligent optimization model, integrating a multi-objective memetic optimization process, a Monte Carlo simulation technique and a heuristic pruning technique, is proposed to handle this problem. Experiments based on industrial data are condu...