Mathematical Formulation of Public Electric Transport Scheduling Task for Artificial Immune Systems This paper describes mathematical formulation and application of artificial immune system for scheduling tasks for public electric transport. Artificial immune system is inspired by human immune system to simulate the process of interaction between antigens and antibodies. The task of scheduling in transport system is represented as one of the most well-known flow shop problem. Artificial immune system as a genetic based method is used to solve such task. Mathematical model and algorithm is proposed to create optimal schedule for public electric transport for minimization of electric energy consumption and time. Numerical example shows several steps of algorithm for artificial immune system for scheduling task solution.

Mathematical Formulation of Public Electric Transport Scheduling Task for Artificial Immune Systems

This paper describes mathematical formulation of multi-stage scheduling task and algorithm for its solution using artificial immune system in intelligent electric transport system. The task of scheduling in transport system is represented as one of the most well-known flow shop problem. Artificial immune system finds conflicts in existing schedule and propose optimal schedule of electric transport by waiting time and electric energy consumption criteria. As numerical example public transport schedule in Riga is proposed to be optimised.

Algorithm for Multi-Stage Scheduling in Intelligent Electric Transport System

This work is based on research in a field of intelligent agent systems, negotiation algorithm solving tasks of energy saving, optimal electric vehicle control and transport flow control in traffic jam. Main goal of research is energy saving for public electric transport. Mathematical model and evolutionary algorithm is proposed in the paper to solve multi-criteria optimization task minimizing idle time and electric energy used by public electric transport and maximize average speed of the flow in traffic jam. Paper presents a computer experiment to test proposed mathematical model and workability of evolutionary algorithm. The specific dynamic model with stochastic parameters of city transport system is created and results of evolutionary optimization are simulated.

Modelling Of Stochastic Parameters For Control Of City Electric Transport Systems Using Evolutionary Algorithm

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Modelling Of Stochastic Parameters For Control Of City Electric Transport Systems Using Evolutionary Algorithm