A multi-agent optimization formulation of earthquake disaster prevention and management

Edrissi, Ali; Poorzahedy, Hossain; Nassiri, Habibollah; Nourinejad, Mehdi

doi:10.1016/j.ejor.2013.03.008

Cited by 65 publications

(37 citation statements)

References 20 publications

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“…[16] Combining a population allocation algorithm with a bottom-up and top-down procedures simulation…”

Section: Obvious Pointmentioning

confidence: 99%

“…In other cases, one should select between accepting the delay and rescheduling. For example, the agent estimates a time interval (15)(16)(17)(18)(19)(20)(21) to reach the injured person for a certain task and wins the auction. In the working environment, the agent's arrival time may not occur within the estimated interval.…”

Section: Implementation and Observation Of Environmental Uncertaintiesmentioning

confidence: 99%

See 1 more Smart Citation

Developing an Agent-Based Simulation System for Post-Earthquake Operations in Uncertainty Conditions: A Proposed Method for Collaboration among Agents

Hooshangi

Alesheikh

2018

IJGI

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Agent-based modeling is a promising approach for developing simulation tools for natural hazards in different areas, such as during urban search and rescue (USAR) operations. The present study aimed to develop a dynamic agent-based simulation model in post-earthquake USAR operations using geospatial information system and multi agent systems (GIS and MASs, respectively). We also propose an approach for dynamic task allocation and establishing collaboration among agents based on contract net protocol (CNP) and interval-based Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods, which consider uncertainty in natural hazards information during agents' decision-making. The decision-making weights were calculated by analytic hierarchy process (AHP). In order to implement the system, earthquake environment was simulated and the damage of the buildings and a number of injuries were calculated in Tehran's District 3: 23%, 37%, 24% and 16% of buildings were in slight, moderate, extensive and completely vulnerable classes, respectively. The number of injured persons was calculated to be 17,238. Numerical results in 27 scenarios showed that the proposed method is more accurate than the CNP method in the terms of USAR operational time (at least 13% decrease) and the number of human fatalities (at least 9% decrease). In interval uncertainty analysis of our proposed simulated system, the lower and upper bounds of uncertain responses are evaluated. The overall results showed that considering uncertainty in task allocation can be a highly advantageous in the disaster environment. Such systems can be used to manage and prepare for natural hazards.

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“…[16] Combining a population allocation algorithm with a bottom-up and top-down procedures simulation…”

Section: Obvious Pointmentioning

confidence: 99%

Section: Implementation and Observation Of Environmental Uncertaintiesmentioning

confidence: 99%

Developing an Agent-Based Simulation System for Post-Earthquake Operations in Uncertainty Conditions: A Proposed Method for Collaboration among Agents

Hooshangi

Alesheikh

2018

IJGI

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“…However, the existence of platelets as a critical relief item in the mathematical models of humanitarian relief logistics has not yet been investigated. Edrissi et al (2013) provided a model that considered the pre-and post-disaster relief phases, network link rehabilitation and relief supply inventory, respectively, in an integrated approach. They took the responsibilities of each organization into account and presented a procedure to coordinate three main heterogeneous agencies.…”

Section: Introductionmentioning

confidence: 99%

Robust Platelet Logistics Planning in Disaster Relief Operations Under Uncertainty: a Coordinated Approach

et al. 2017

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Abstract:Resource sharing, as a coordination mechanism, can mitigate disruptions in supply and changes in demand. It is particularly crucial for platelets because they have a short lifespan and need to be transferred and allocated within a limited time to prevent waste or shortages. Thus, a coordinated model comprised of a mixed vertical-horizontal structure, for the logistics of platelets, is proposed for disaster relief operations in the response phase. The aim of this research is to reduce the wastage and shortage of platelets due to their critical role in wound healing. We present a biobjective location-allocation robust possibilistic programming model for designing a two-layer coordinated organization strategy for multi-type blood-derived platelets under demand uncertainty. Computational results, derived using a heuristic -constraint algorithm, are reported and discussed to show the applicability of the proposed model. The experimental results indicate that surpluses and shortages in platelets remarkably declined following instigation of a coordinated disaster relief operation.

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“…In humanitarian relief logistics transportation, locationallocation problems aim to minimize the transportation time regarding the servicing, budget and resource constraints, and emergency demands to increase the lifespan of the injured (Edrissi et al 2013). However, based on the distribution, humanitarian relief logistics models have different objectives such as considering total cost which includes minimizing traveling costs, distribution costs, manpower costs which their feasible solution is proportional to the extent of supply (Liberatore et al 2014).…”

Section: Introductionmentioning

confidence: 99%

A Novel Algorithm for Identifying and Analyzing Humanitarian Relief Logistics Problems: Studying Uncertainty on the Basis of Interaction with the Decision Maker

Babaei

Shahanaghi

2018

Process Integr Optim Sustain

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Integration of decision-making in relief logistics intends establishing a better condition in fast response. Also, regarding the unpredictability of relief demand, uncertain conditions should be studied in a more applicable way of the planning process. This paper investigates a comprehensive novel algorithm in order to analyze a multi-level location-allocation routing emergency problem in uncertain conditions considering a fast and stable response to the different situations. Due to this reason, system dynamics and its control are studied. In the presented model, the demand is simulated by Mont Carlo simulation. Sum of allocated resources is determined by the expected value of Poisson's distribution based on the approximation of its confidence interval. This model is capable to cover all demands existing in the network. Moreover, allocation of ambulances is considered based on the fuzzy cost. A simulated annealing (SA) algorithm is developed to solve the problem. The obtained results show that the proposed algorithm has good performance and it has been found out that total cost of the emergency system decreases with the increase of covering of stochastic demands, and the responsiveness in each scenario increases. However, the proposed algorithm is highly able to recognize the problem space to create a more precise and adequate description of the problem regarding the conditions.

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A multi-agent optimization formulation of earthquake disaster prevention and management

Cited by 65 publications

References 20 publications

Developing an Agent-Based Simulation System for Post-Earthquake Operations in Uncertainty Conditions: A Proposed Method for Collaboration among Agents

Developing an Agent-Based Simulation System for Post-Earthquake Operations in Uncertainty Conditions: A Proposed Method for Collaboration among Agents

Robust Platelet Logistics Planning in Disaster Relief Operations Under Uncertainty: a Coordinated Approach

A Novel Algorithm for Identifying and Analyzing Humanitarian Relief Logistics Problems: Studying Uncertainty on the Basis of Interaction with the Decision Maker

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