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Advances in Computational Intelligence: 12th International by Anastassia Angelopoulou, Alexandra Psarrou, José

By Anastassia Angelopoulou, Alexandra Psarrou, José García-Rodríguez (auth.), Ignacio Rojas, Gonzalo Joya, Joan Cabestany (eds.)

This two-volume set LNCS 7902 and 7903 constitutes the refereed complaints of the twelfth foreign Work-Conference on man made Neural Networks, IWANN 2013, held in Puerto de los angeles Cruz, Tenerife, Spain, in June 2013. The 116 revised papers have been conscientiously reviewed and chosen from various submissions for presentation in volumes. The papers discover sections on mathematical and theoretical equipment in computational intelligence, neurocomputational formulations, studying and edition emulation of cognitive features, bio-inspired structures and neuro-engineering, complex subject matters in computational intelligence and applications.

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In the TBAP, we are given a set of incoming container vessels V , a set of berths B and a maximum number of available quay cranes Q. Each container vessel v ∈ V must be assigned to an empty berth b ∈ B within its time window [tv , tv ]. The berthing position of a vessel should be close to the departure position of its containers. In this regard, the housekeeping cost, hss , represents the effort associated with moving a given container between the berthing positions s and s of the quay (Giallombardo et al.

In this work, a new approach is proposed, based on Artificial Bee Colony (ABC), observing the inherent characteristics of detecting promissing food sources employed by that metaheuristic. The proposed hybrid algorithm, performing a Hooke & Jeeves based local, is compared against other versions of ABC: a pure ABC and another hybrid ABC, exploring an elitist criteria. 1 Introduction Modern metaheuristics attempt to balance exploration and exploitation movements explicitly by employing global and local search strategies.

4. [22] There are 17 local minima in this range. 16 4 W. Y. 1 to find optimal so olution for the above four different benchmark functioons. Our network has N=16 nod des, each with 16 chromosomes. For the experiment on the Knapsack Problem, the opttimal number is fixed to be 10050. 2). We also run the program m for topologies with increasing links l from a ring to a fully connected network. The results are basically the same for th he Weierstrass Function with D = 1. For each point we run Fig. 2.

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