1 Multi-Start and Strategic Oscillation Methods --;Principles to Exploit Adative Memory --;2 Building a High-quality Decision Tree with a Genetic Algorithm --;3 Sequential Testing of Series-Parallel Systems of Small Depth --;4 Conveying Problem Structure from an Algebraic Modeling Language to Optimization Algorithms --;5 Solving General Ring Network Design Problems by Meta-Heuristics --;6 Lagrangean/Surrogate Heuristics for p-Median Problems --;7 An Introduction to Ant Systems --;8 Extremal Energy Models and Global Optimization --;9 A Simulation-Based Policy Iteration Algorithm for Average Cost Unichain Markov Decision Processes --;10 Knowledge Management and its Impact on Decision Support --;11 Heuristics for Minimum Cost Steady-State Gas Transmission Networks --;12 Assigning Proctors to Exams with Scatter Search --;13 Multi-Attribute Evaluation of Software Maintainability --;14 Explicit-Constraint Branching for Solving Mixed-Integer Programs --;15 An Object-Oriented Graphical Modeler for Optimal Production Planning in a Refinery --;16 Optimization of Water Distribution Systems by a Tabu Search Metaheuristic --;17 Scatter Search to Generate Diverse MIP Solutions.
Computing Tools for Modeling, Optimization and Simulation reflects the need for preserving the marriage between operations research and computing in order to create more efficient and powerful software tools in the years ahead.
Artificial intelligence.
Computer science.
Mathematical optimization.
edited by Manuel Laguna, José Luis González Velarde.