By Giovanni Squillero, Paolo Burelli
The volumes LNCS 9597 and 9598 represent the refereed convention lawsuits of the nineteenth eu convention at the functions of Evolutionary Computation, EvoApplications 2016, held in Porto, Portugal, in March/April 2016, co-located with the Evo* 2016 occasions EuroGP, EvoCOP, and EvoMUSART.
The fifty seven revised complete papers awarded including 17 poster papers have been conscientiously reviewed and chosen from one hundred fifteen submissions. EvoApplications 2016 consisted of the next thirteen tracks: EvoBAFIN (natural computing equipment in enterprise analytics and finance), EvoBIO (evolutionary computation, computing device studying and information mining in computational biology), EvoCOMNET (nature-inspired ideas for telecommunication networks and different parallel and disbursed systems), EvoCOMPLEX (evolutionary algorithms and complicated systems), EvoENERGY (evolutionary computation in strength applications), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in photograph research, sign processing, and trend recognition), EvoINDUSTRY (nature-inspired thoughts in commercial settings), EvoNUM (bio-inspired algorithms for non-stop parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoRISK (computational intelligence for probability administration, protection and defence applications), EvoROBOT (evolutionary robotics), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).
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Extra resources for Applications of Evolutionary Computation: 19th European Conference, EvoApplications 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings, Part I
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Evolution of best-of-generation test-set ADR. Each graph plots 50 independent evolutionary runs, and the average is shown in bold. Figure 4(a) to Fig. 4(g) for S&P500. Figure 4(h) to Fig. 4(n) for EUR/USD. Figure 4(o) to Fig. 4(u) for Nikkei. 30 A. Agapitos et al. model selection in Fig. 3. This way we can assess the ability of the validation-set estimate to track the generalisation performance of an evolved solution. For the case of S&P500 we observe that, on average, generalisation in stateless GP (Fig.