Bjarne Berg UNC-Charlotte A Minimum Expected Response Model - Formulation, Heuristic Solution and Application by Dr. Cem Saydam and Dr. Hari Rajagopalan Bjarne Berg UNC-Charlotte

What We’ll Cover … Introduction The Models The Solution Algorithm Application to Charlotte Mecklenburg County data Conclusions Some Observations 7 Key Points to Take Home

Introduction As The

What We’ll Cover … Introduction The Models The Solution Algorithm Application to Charlotte Mecklenburg County data Conclusions Some Observations 7 Key Points to Take Home

The Models – MERLP-1 Variables: Conversly The

The Models – MERLP-1 Minimize: Subject to: The

The Models – MERLP-2 Variables: The

The Models – MERLP-2 Minimize: Subject to: The

Reactive Tabu Search procedure sdf The

Greedy Search Algorithm sdf The

What We’ll Cover … Introduction The Models The Solution Algorithm Application to Charlotte Mecklenburg County data Conclusions Some Observations 7 Key Points to Take Home

Solution Algorithm As The

What We’ll Cover … Introduction The Models The Solution Algorithm Application to Charlotte Mecklenburg County data Conclusions Some Observations 7 Key Points to Take Home

Application to Charlotte Mecklenburg County data As The

Application to Charlotte Mecklenburg County data As The

Application to Charlotte Mecklenburg County data As The

Average Distance Travelled As The

Application to Charlotte Mecklenburg County data As The

Application to Charlotte Mecklenburg County data As The

Application to Charlotte Mecklenburg County data As The

What We’ll Cover … Introduction The Models The Solution Algorithm Application to Charlotte Mecklenburg County data Conclusions Some Observations 7 Key Points to Take Home

Conclusions As The

What We’ll Cover … Introduction The Models The Solution Algorithm Application to Charlotte Mecklenburg County data Conclusions Some Observations 7 Key Points to Take Home

Some Observations As The

What We’ll Cover … Introduction The Models The Solution Algorithm Application to Charlotte Mecklenburg County data Conclusions Some Observations 7 Key Points to Take Home

7 Key Points to Take Home If

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