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Bus Operations Scheduling Subject to Resource Constraints Using Evolutionary Optimization

Konstantinos Gkiotsalitis, Rahul Kumar
2018 Informatics  
The computer-aided generation of optimal bus schedules is a tedious task due to the nonlinear and multi-variable nature of the bus scheduling problem.  ...  This work explores the potential of using Automated Vehicle Location (AVL) data from the running vehicles for generating bus schedules that improve the service reliability and conform to various regulatory  ...  Niu and Tian [20] developed a methodology to determine the dispatching times of bus trips subject to capacity constraints with the use of heuristic algorithms.  ... 
doi:10.3390/informatics5010009 fatcat:gfqe7ilzarbr3gkyt2xr4jigha

An evolutionary game theory-based optimal scheduling strategy for multi-agent distribution network operation considering voltage management

Ji Won Lee, Mun Kyeom Kim
2022 IEEE Access  
Distribution system operators (DSOs) have difficulty in scheduling distributed energy resources owing to the increasing power demand and penetration of renewable energy.  ...  The EGT, which is a decision-making strategy, is used by agents to cooperate and derive the best scheduling with their own behavior pattern functions to minimize the system operating cost.  ...  The supervisor leads optimizations through self-evolutionary improvements because the opponent is not subjected to competition but rather to adaptation in the proposed algorithm.  ... 
doi:10.1109/access.2022.3174077 fatcat:3y4vdembhbeyjefyot5yxfnwge

Introduction to the Special Issue: Evolutionary Algorithms for Scheduling

David Montana
1998 Evolutionary Computation  
for scheduling service calls • weeks for scheduling commercial airline flights In all cases, there are time constraints on how long it can take to schedule and reschedule that place limits on the amount  ...  These variations arise from a number of different sources including • differences in the types of hard constraints, such as relative and absolute temporal restrictions and resource capabilities constraints  ...  The papers in this special issue provide important new insights into how to use evolutionary algorithms for optimal scheduling, a subject about which there is still much to learn.  ... 
doi:10.1162/evco.1998.6.1.v pmid:10021737 fatcat:dkverwunxnbephpponfeldna2y

A comprehensive Review on Evolutionary Optimization Techniques applied for Unit Commitment Problem

Narayanasamy Muralikrishnan, Luke Jebaraj, Charles Christober Asir Rajan
2020 IEEE Access  
and renewable generations, subject to customary constraints.  ...  The same authors proposed the same methodology of optimization process, subject to import/export and tie line constraints [238] .  ... 
doi:10.1109/access.2020.3010275 fatcat:5zufg4upj5g5lhxbvipfppggnu

Handling Airport Ground Processes Based on Resource-Constrained Project Scheduling [chapter]

Jürgen Kuster, Dietmar Jannach
2006 Lecture Notes in Computer Science  
This paper describes how the Resource-Constrained Project Scheduling Problem (RCPSP) can be used as a basis for real-time decision support in the disruption management of the aircraft turnaround, the most  ...  For this purpose, the RCPSP is extended by the possibility to describe alternative activities, which can be used to model potential process modications.  ...  Based on the respective elements, schedules for the contained activities can be generated and optimized in an ecient manner: Especially the possibility to use various forms of metaheuristics (as opposed  ... 
doi:10.1007/11779568_20 fatcat:py5ct4feg5fhpf47chpfq5fxre

A framework for modular analysis and exploration of heterogeneous embedded systems

Arne Hamann, Marek Jersak, Kai Richter, Rolf Ernst
2006 Real-time systems  
Consequently, good search techniques are needed to find design alternatives that best meet constraints and cost criteria.  ...  In this paper, we present a compositional design space exploration framework for system optimization and exploration using SymTA/S, a software tool for formal performance analysis.  ...  Acknowledgment We would like to thank Lothar Thiele and his group from the ETH Zürich for providing us with the PISA interface and the corresponding algorithms for multi-objective optimization.  ... 
doi:10.1007/s11241-006-6884-x fatcat:bzjciwgfkzecjavfmifze66wp4

A hybrid approach based on PSO and EP for proficient solving of Unit Commitment Problem

R. Lal Raja Singh, C. Christober Asir Rajan
2011 2011 International Conference & Utility Exhibition on Power and Energy Systems: Issues and Prospects for Asia (ICUE)  
Unit Commitment Problem (UCP) is a nonlinear mixed integer optimization problem used in the scheduling operation of power system generating units subjected to demand and reserve requirement constraints  ...  Being a global optimization technique, Evolutionary Programming (EP) for solving Unit Commitment Problem, operates on a method, which encodes each unit's operating schedule with respect to up/down time  ...  Evolutionary Programming (EP) is used to obtain an optimum generation schedule for each period and the total operating cost for the whole 24 hour period.  ... 
doi:10.1109/icuepes.2011.6497763 fatcat:yqzsnqhhqvh4jn7k3dflf277vq

Methods for power optimization in distributed embedded systems with real-time requirements

Razvan Racu, Arne Hamann, Rolf Ernst, Bren Mochocki, Xiaobo Sharon Hu
2006 Proceedings of the 2006 international conference on Compilers, architecture and synthesis for embedded systems - CASES '06  
In this paper, a comprehensive real-time application model including periodic, sporadic and bursty tasks as well as distributed real-time constraints such as end-to-end delays is considered.  ...  to relatively simple real-time application models.  ...  During exploration the scheduling analysis engine analyzes the generated system configurations and determines properties subject to optimization (optimization objectives).  ... 
doi:10.1145/1176760.1176806 dblp:conf/cases/RacuHEMH06 fatcat:nmz42cg2kfcxhejqh3yospn2me

Enhanced Velocity Differential Evolutionary Particle Swarm Optimization for Optimal Scheduling of a Distributed Energy Resources with Uncertain Scenarios

Dharmesh Dabhi, Kartik Pandya
2020 IEEE Access  
Due to the presence of mixed-integer, discrete variables and non-linear network constraints, it is sometimes very difficult to solve such problem using traditional optimization methods.  ...  This paper proposes a new metaheuristic optimization technique entitled the "Enhanced Velocity Differential Evolutionary Particle Swarm Optimization" (EVDEPSO) algorithm to tackle the ERM problem.  ...  Pandya: EVDEPSO for Optimal Scheduling of a DERs With Uncertain Scenarios N i Solar Total connected PV units to bus i N LD Total loads N i LD Total loads LD connected to bus i N K Total  ... 
doi:10.1109/access.2020.2970236 fatcat:4erbebepibdvbk4qkccngklkee

Solving the Problem of Large-Scale Optimal Scheduling of Distributed Energy Resources in Smart Grids Using an Improved Variable Neighborhood Search

Makbul A.M. Ramli, Houssem R.E.H. Bouchekara
2020 IEEE Access  
The main objective of this paper is to study the optimal scheduling of distributed energy resources (OSDER) problem.  ...  In this context, energy management and optimal scheduling of different resources are very important.  ...  In addition, the distributed optimization algorithm has been successfully used for a vast variety of SG operational problems and constraints [20] - [22] .  ... 
doi:10.1109/access.2020.2986895 fatcat:26x4zxrlozbqfb2gp2tsccbov4

Multi cases optimal reactive power dispatch using evolutionary programming

Rahmatul Hidayah Salimin, Ismail Musirin, Zulkiffli Abdul Hamid, Afdallyna Fathiyah Harun, Saiful Izwan Suliman, Hadi Suyono, Rini Hasanah
2020 Indonesian Journal of Electrical Engineering and Computer Science  
<span>Evolutionary Programming (EP) is one of many types in Evolutionary Computation (EC) that used for optimization process.  ...  ORPD will be used to minimize the transmission loss as well the increasing reactive power loading. This method conducted on IEEE 30-bus Test System with multi cases scenario.  ...  ACKNOWLEDGEMENTS The author would like to acknowledge the Institute of Research Management and Innovation (IRMI), UiTM Shah Alam, Selangor, Malaysia for the financial support of this research.  ... 
doi:10.11591/ijeecs.v17.i2.pp662-670 fatcat:cooy6zx5zrdsve7w7kcy5yvlei

An evolutionary programming tool for assessing the operational value of distributed energy resources within restructured electricity industries

I. F. MacGill
2007 2007 Australasian Universities Power Engineering Conference  
This paper describes a Dual Evolutionary Programming approach where software agents for power system resources co-evolve optimal operational behaviours over repeated power system simulations.  ...  The tool is applied to a simple case study exploring the potential operational synergies between significant PV penetrations and distributed energy storage options including controllable loads.  ...  , all connected to a single bus as shown in figure 2 .  ... 
doi:10.1109/aupec.2007.4548130 fatcat:cgvuhretjffd5pxhduh4wyhwjq

Application-Specific Modified Particle Swarm Optimization for energy resource scheduling considering vehicle-to-grid

J. Soares, T. Sousa, H. Morais, Z. Vale, B. Canizes, A. Silva
2013 Applied Soft Computing  
The objective of the day-ahead scheduling problem in this work is to minimize operation costs, namely energy costs, regarding the management of these resources in the smart grid context.  ...  resource scheduling, even when a significant number of alternative scenarios should be considered.  ...  Problem dimension The use of metaheuristics to solve the scheduling of distributed energy resources is of high value to network systems operators.  ... 
doi:10.1016/j.asoc.2013.07.003 fatcat:gdo22hdhurevhd7zo3jg7bgwou

Transit network design and scheduling using genetic algorithm – a review

Amita Johar, S. S. Jain, P. K. Garg
2016 An International Journal of Optimization and Control: Theories & Applications  
After the review of various studies involved in design and scheduling of transit network using genetic algorithm, it was concluded that genetic algorithm is an efficient optimization technique.  ...  Due to the involvement of several parameters the design and scheduling of transit network by means of traditional optimization technique is very difficult.  ...  [21] develop a model using GAs to optimize bus transit system.  ... 
doi:10.11121/ijocta.01.2016.00258 fatcat:rmfliaii3vhi5p2zkmrlpy7jve

Dynamic security constrained optimal power flow using finite difference sensitivities

Shrirang Abhyankar, Vishwas Rao, Mihai Anitescu
2014 2014 IEEE PES General Meeting | Conference & Exposition  
We present a novel technique for determining the solution of optimal power flow, including dynamic security constraints, using forward sensitivities computed by using finite differences.  ...  Finite differencing provides an easy way of computing the sensitivities of the dynamic security constraints in optimal power flow.  ...  The solution of the optimal power flow ensures an economic power system operation while satisfying the operational security constraints.  ... 
doi:10.1109/pesgm.2014.6939563 fatcat:g7gajyog4bfmphat75pqied6ni
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