Sebanyak 3 item atau buku ditemukan

Evolutionary Computation in Combinatorial Optimization

14th European Conference, EvoCOP 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers

This book constitutes the refereed proceedings of the 14th European Conference on Evolutionary Computation in Combinatorial Optimization, Evo COP 2014, held in Granada, Spain, in April 2014, co-located with the Evo*2014 events Euro GP, Evo BIO, Evo MUSART and Evo Applications. The 20 revised full papers presented were carefully reviewed and selected from 42 submissions. The papers cover the following topics: swarm intelligence algorithms, fitness landscapes and adaptive algorithms, real world and routing problems and cooperative and metaheuristic search.

During past decades, metaheuristic algorithms have been shown to be provenly
effective for a wide range of hard combinatorial optimization problems arising in a
variety of industrial, economic, and scientific settings. Well-known exam- ples of ...

Evolutionary Computation in Combinatorial Optimization

13th European Conference, EvoCOP 2013, Vienna, Austria, April 3-5, 2013, Proceedings

This book constitutes the refereed proceedings of the 13th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoBIO, EvoMUSART, and EvoApplications. The 23 revised full papers presented were carefully reviewed and selected from 50 submissions. The papers present the latest research and discuss current developments and applications in metaheuristics - a paradigm to effectively solve difficult combinatorial optimization problems appearing in various industrial, economic, and scientific domains. Prominent examples of metaheuristics are ant colony optimization, evolutionary algorithms, greedy randomized adaptive search procedures, iterated local search, simulated annealing, tabu search, and variable neighborhood search. Applications include scheduling, timetabling, network design, transportation and distribution, vehicle routing, the travelling salesman problem, packing and cutting, satisfiability, and general mixed integer programming.

Dynamic Evolutionary Membrane Algorithm in Dynamic Environments Chuang
Liu and Min Han⋆ Faculty of Electronic ... For solving these problems, a novel
dynamic evolutionary algorithm based on membrane computing is proposed.

Hybrid Metaheuristics

An Emerging Approach to Optimization

Optimization problems are of great importance across a broad range of fields. They can be tackled, for example, by approximate algorithms such as metaheuristics. This book is intended both to provide an overview of hybrid metaheuristics to novices of the field, and to provide researchers from the field with a collection of some of the most interesting recent developments. The authors involved in this book are among the top researchers in their domain.

This is because hybrid metaheuristics combine their advantages with the complementary strengths of, for example, more classical optimization techniques such as branch and bound or dynamic programming.The authors involved in this book are ...