Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics

The Importance of Being Careful.- The Importance of Being Careful.- Designing and Tuning SLS Through Animation and Graphics: An Extended Walk-Through.- Implementation Effort and Performance.- Tuning the Performance of the MMAS Heuristic.- Comparing Variants of MMAS ACO Algorithms on Pseudo-Boolean Functions.- EasyAnalyzer: An Object-Oriented Framework for the Experimental Analysis of Stochastic Local Search Algorithms.- Mixed Models for the Analysis of Local Search Components.- An Algorithm Portfolio for the Sub-graph Isomorphism Problem.- A Path Relinking Approach for the Multi-Resource Generalized Quadratic Assignment Problem.- A Practical Solution Using Simulated Annealing for General Routing Problems with Nodes, Edges, and Arcs.- Probabilistic Beam Search for the Longest Common Subsequence Problem.- A Bidirectional Greedy Heuristic for the Subspace Selection Problem.- Short Papers.- EasySyn++: A Tool for Automatic Synthesis of Stochastic Local Search Algorithms.- Human-Guided Enhancement of a Stochastic Local Search: Visualization and Adjustment of 3D Pheromone.- Solving a Bi-objective Vehicle Routing Problem by Pareto-Ant Colony Optimization.- A Set Covering Approach for the Pickup and Delivery Problem with General Constraints on Each Route.- A Study of Neighborhood Structures for the Multiple Depot Vehicle Scheduling Problem.- Local Search in Complex Scheduling Problems.- A Multi-sphere Scheme for 2D and 3D Packing Problems.- Formulation Space Search for Circle Packing Problems.- Simple Metaheuristics Using the Simplex Algorithm for Non-linear Programming.