Trajectory planning is always a hot issue for harvesting manipulator in practice considering that the limitations of mechanical structure and other nonlinear factors lead to long harvest time, big jerk high energy consumption. The cubic spline algorithm, fifth-order polynomial interpolation fusing algorithm are used shorten reduce enhance robustness manipulator, respectively. Then trajectory pr...

All standard Artifical Intelligence (AI) planners to-date can only handle a single objective, and the only way for them to take into account multiple objectives is by aggregation of the objectives. Furthermore, and in deep contrast with the single objective case, there exists no benchmark problems on which to test the algorithms for multi-objective planning. Divide-and-Evolve (DaE) is an evolut...

Proper emergency evacuation planning is a key to ensuring the safety and efficiency of resources allocation in disaster events. An efficient plan can save human lives avoid other effects disasters. To develop effective plans, this study proposed multi-objective optimization model that assigns individuals shelters through safe routes during available periods. The main objective minimize total tr...

Task-based planning problems for multi-agent systems require multiple agents to find a joint plan for a constrained set of tasks. Typically, each agent receives a subset of tasks to complete. Due to task interdependencies, such task allocations induce interdependencies between agents as well. These interdependencies will prevent the agents from making a plan for their subset of tasks independen...

The simulation of land combat operations is a complex task. The space of possibilities is exponential and the performance criteria are usually in conflict; thus finding a sweet spot in this complex search space is a hard task. This paper focuses on the effect of population size and mutation rate on the performance of NSGA–II, as the evolutionary multiobjective optimization technique, to decide ...