emphasis on multiobjective linear programming and multiobjective integer/mixed integer programming. A didactic book, it is … for teaching and decision-making support purposes in multiobjective linear programming problems. Thus, besides the … -- Interactive methods in multiobjective linear programming -- A guided tour of the iMOLPe -- Multiobjective integer and mixed …

based stochastic mixed integer programming to address risk-neutral, risk-averse and mean-risk decision-making in the … proposed mathematical programming models are solved using an advanced algebraic modeling language such as AMPL and CPLEX … disruption management problems using commercially available software for mixed integer programming. Using the end-of chapter …

-Integer Linear Programming model is proposed while an approach based on the Analytic Hierarchy Process is suggested for the latter …

Management -- Strategic and Tactical Planning Models for Supply Chain: An Application of Stochastic Mixed Integer Programming … New Pharmaceutical and Agrochemical Products -- A Mixed-Integer Nonlinear Programming Approach to the Optimal Planning of … Offshore Oilfield Infrastructures -- Radiation Treatment Planning: Mixed Integer Programming Formulations and Approaches …

Methodology -- The Nested Partitions Method -- Noisy Objective Functions -- Mathematical Programming in the NP … dynamic programming, mixed integer programming, genetic algorithms and tabu search, while also integrating many problem …

-and-bound methods, local search and genetic algorithms, and dynamic programming are present- ed. They are used in exact or heuristic …