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v. t. e. Automated planning and scheduling, sometimes denoted as simply AI planning, [1] is a branch of artificial intelligence that concerns the realization of strategies or action sequences, typically for execution by intelligent agents, autonomous robots and unmanned vehicles. Unlike classical control and classification problems, the ...
Some of the most recent and efficient metaheuristics for vehicle routing problems reach solutions within 0.5% or 1% of the optimum for problem instances counting hundreds or thousands of delivery points. [15] These methods are also more robust in the sense that they can be more easily adapted to deal with a variety of side constraints.
Trapeze PASS is a scheduling and dispatching application developed to support the transportation management efforts of demand response transit services while following guidelines from the Americans with Disabilities Act. PASS can be used for client registration, trip booking, real-time scheduling, and dispatching.
Optym. Optym is a privately held company founded in 2000 by Dr. Ravindra K. Ahuja as Innovative Scheduling, Inc. [ 1][ 2] The company headquarters is situated on 10 acres in Dallas, Texas, and additional offices are located in Yerevan, Armenia; Bangalore, India; and Perth, Australia. [ 1][ 2][ 3] Optym provides transportation software [ 4] and ...
Dynamic priority scheduling is a type of scheduling algorithm in which the priorities are calculated during the execution of the system. The goal of dynamic priority scheduling is to adapt to dynamically changing progress and to form an optimal configuration in a self-sustained manner. It can be very hard to produce well-defined policies to ...
Optimal job scheduling is a class of optimization problems related to scheduling. The inputs to such problems are a list of jobs (also called processes or tasks) and a list of machines (also called processors or workers). The required output is a schedule – an assignment of jobs to machines. The schedule should optimize a certain objective ...
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