This paper presents a new approach to multi-objective dynamic trajectory planning of Parallel Kinematic Machines (PKM) under task, workspace and manipulator constraints. The robot kinematic and dynamic models, (including actuators) are first developed. Then the proposed trajectory planning system is introduced. It minimizes electrical and kinetic energy, robot travel time separating two samplin...

In a R&D department, several projects may have to be implemented simultaneously within a certain period of time by a limited number of human resources with diverse skills. This paper proposes an optimisation model for the allocation of multi-skilled human resources to R&D projects, considering individual workers as entities having different knowledge, experience and ability. The model focuses o...

Recently, the biomass has gained considerable attention as a feedstock for energy production because of its attractive characteristics, including its availability as a renewable resource. However, the biomass can be subjected to several uncertain factors such as the availability, market cost and composition; thus, it is worth noting that the uncertainty in the raw material can affect drasticall...

In this paper, we concern multi-objective mission planning problem of a constellation of the next generation agile Earth-observing satellites. As usual, the goal of Earth-observing satellite mission planning is to maximize the sum weights of selected tasks. But for agile satellites, based on its stronger ability, single criterion is often a poor measure of planning results. For agile satellite,...

1 Universidade de Trás-os-Montes e Alto Douro, Dep. de Engenharia Electrotécnica, Quinta de Prados, 5000–911 Vila Real, Portugal, {epires,oliveira}@utad.pt, http://www.utad.pt/ ̃epires http://www.utad.pt/ ̃oliveira 2 Instituto Superior de Engenharia do Porto, Dep. de Engenharia Electrotécnica, Rua Dr. António Bernadino de Almeida, 4200-072 Porto, Portugal [email protected], http://www.dee.isep....

In this paper, a direct solution method that is based on ranking methods of fuzzy numbers and tabu search is proposed to solve fuzzy multi-objective aggregate production planning problem. The parameters of the problem are defined as triangular fuzzy numbers. During problem solution four different fuzzy ranking methods are employed/tested. One of the primary objectives of this study is to show t...

After a disruption in an interconnected set of systems, it is necessary to restore service. This requires the determination of the tasks that need to be undertaken to restore service, and then scheduling those tasks using the available resources. This paper discusses combining mathematical programming and constraint programming into multiple objective restoration planning in order to schedule t...

Most real-world Planning problems are multi-objective, trying to minimize both the makespan of the solution plan, and some cost of the actions involved in the plan. But most, if not all existing approaches are based on single-objective planners, and use an aggregation of the objectives to remain in the single-objective context. Divide-andEvolve is an evolutionary planner that won the temporal d...

Planning under uncertainty poses a complex problem in which multiple objectives often need to be balanced. When dealing with multiple objectives, it is often assumed that the relative importance of the objectives is known a priori. However, in practice human decision makers often find it hard to specify such preferences, and would prefer a decision support system that presents a range of possib...