Stochastic Algorithms: Foundations and Applications

SOMMARIO

Systems of Containers and Enumeration Problems.- Some Heuristic Analysis of Local Search Algorithms for SAT Problems.- Clustering in Stochastic Asynchronous Algorithms for Distributed Simulations.- On Construction of the Set of Irreducible Partial Covers.- Recent Advances in Multiobjective Optimization.- Polynomial Time Checking for Generation of Finite Distributions of Rational Probabilities.- FPL Analysis for Adaptive Bandits.- On Improved Least Flexibility First Heuristics Superior for Packing and Stock Cutting Problems.- Evolutionary Testing Techniques.- Optimal Fuzzy CLOS Guidance Law Design Using Ant Colony Optimization.- On Some Bounds on the Size of Branching Programs (A Survey).- Two Metaheuristics for Multiobjective Stochastic Combinatorial Optimization.- Self-replication, Evolvability and Asynchronicity in Stochastic Worlds.- New Computation Paradigm for Modular Exponentiation Using a Graph Model.- Dynamic Facility Location with Stochastic Demands.- The Complexity of Classical and Quantum Branching Programs: A Communication Complexity Approach.- On the Properties of Asymptotic Probability for Random Boolean Expression Values in Binary Bases.- Solving a Dynamic Cell Formation Problem with Machine Cost and Alternative Process Plan by Memetic Algorithms.- Eco-Grammar Systems as Models for Parallel Evolutionary Algorithms.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9783540294986
• Collana: Lecture Notes in Computer Science
• Dimensioni: 235 x 155 mm Ø 800 gr
• Formato: Brossura
• Illustration Notes: VIII, 240 p.
• Pagine Arabe: 240
• Pagine Romane: viii