Operational Freight Carrier Planning: Basic Concepts, Optimization Models and Advanced Memetic Algorithms
This book represents the compilation of several research approaches on opera tional freight carrier planning carried out at the Chair of Logistics, University of Bremen. It took nearly three years from the first ideas to the final version, now in your hands. During this time, several persons helped me all the time to keep on going and to re-start when I got stuck in a dead end or when I could not see the wood for the trees. I am deeply indebted to them for their encouragement and comments. Prof. Dr. Herbert Kopfer, holder of the Chair of Logistics, introduced me into the field of operational transport planning. He motivated and supervised me. Furthermore, he supported me constantly and allowed me to be as free as possible in my research and encouraged me to be as creative as necessary. In addition, I have to thank Prof. Dr. Hans-Dietrich Haasis, Prof. Dr. Martin G. Mohrle and Prof. Dr. Thorsten Poddig. On behalf of all my colleagues, who supported me in numerous ways, I have to say thank you to Prof. Dr. Dirk C. Mattfeld, Prof. Dr. Christian Bierwirth, Henner Gratz, Prof. Dr. Elmar Erkens, Nadja Shigo and Katrin Dorow. They all helped me even with my most obscure and dubious problems. My family supported me all the time. They always showed me their trust and encouraged me continuously. Special thanks are dedicated to my parents Monika and Heinz-Jiirgen.
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Operational Freight Transport Planning
Pickup and Delivery Selection Problems
Memetic Algorithm Vehicle Routing
Memetic Search for Optimal PDSchedules
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Operational Freight Carrier Planning: Basic Concepts, Optimization Models ...
No preview available - 2009
ACC-MA achieved allowed applied approach available vehicles average bundles capacity chromosome combinatorial optimization compulsory requests configuration constraint violations corresponding crossover customer locations customer requests decision problems delivery location delivery operation delivery requests Delivery Selection Problem denoted determined Epistasis evolution Evolutionary Algorithm evolved feasible solutions fitness value freight carrier freight charge frequency fulfillment costs genetic search genotype heuristic i-th improvement indiv infeasible initial population iteration LSP incorporation mating pool Memetic Algorithms Metaheuristics minimization mode selection mutation number of requests observed offspring route optimization problem parental routes pd-paths pd-requests pd-schedule PDSPLSP permutation phenotype pickup and delivery planning period planning problems postponed problem instance procedure profit contributions profitable requests proposed QC-MA quote reduced region request portfolio request selection revenues route of vehicle routing problem scheduling Sect sequence solution instance solved Subsection tabu search transportation plan transshipment travel distance typically unconsidered vehicle routing Vehicle Routing Problem