000779177 000__ 05906cam\a2200565Ii\4500 000779177 001__ 779177 000779177 005__ 20230306142915.0 000779177 006__ m\\\\\o\\d\\\\\\\\ 000779177 007__ cr\nn\nnnunnun 000779177 008__ 170127s2017\\\\sz\a\\\\o\\\\\101\0\eng\d 000779177 019__ $$a974649616 000779177 020__ $$a9783319516912$$q(electronic book) 000779177 020__ $$a3319516914$$q(electronic book) 000779177 020__ $$z9783319516905 000779177 0247_ $$a10.1007/978-3-319-51691-2$$2doi 000779177 035__ $$aSP(OCoLC)ocn970378611 000779177 035__ $$aSP(OCoLC)970378611$$z(OCoLC)974649616 000779177 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dAZU$$dOCLCF$$dOCLCO$$dUAB$$dESU$$dUPM$$dIOG 000779177 049__ $$aISEA 000779177 050_4 $$aQ342$$b.A22 2017eb 000779177 08204 $$a006.3$$223 000779177 1112_ $$aACALCI (Conference)$$n(3rd :$$d2017 :$$cGeelong, Vic.) 000779177 24510 $$aArtificial life and computational intelligence :$$bthird Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, January 31-February 2, 2017, Proceedings /$$cMarkus Wagner, Xiaodong Li, Tim Hendtlass (eds.). 000779177 2463_ $$aACALCI 2017 000779177 264_1 $$aCham , Switzerland:$$bSpringer,$$c2017. 000779177 300__ $$a1 online resource (xiii, 392 pages) :$$billustrations. 000779177 336__ $$atext$$btxt$$2rdacontent 000779177 337__ $$acomputer$$bc$$2rdamedia 000779177 338__ $$aonline resource$$bcr$$2rdacarrier 000779177 347__ $$atext file$$bPDF$$2rda 000779177 4901_ $$aLecture notes in artificial intelligence,$$x0302-9743 ;$$v10142 000779177 4901_ $$aLNCS sublibrary. SL 7, Artificial intelligence 000779177 500__ $$aInternational conference proceedings. 000779177 500__ $$aIncludes author index. 000779177 5050_ $$aArtificial Life and Computational Intelligence -- Extending the Delaunay Triangulation Based Density Measurement to Many-objective Optimization -- Emotion, Trustworthiness and Altruistic Punishment in a Tragedy of the Commons Social Dilemma -- Equity Option Strategy Discovery and Optimization Using a Memetic Algorithm -- Co-Evolving Line Drawings with Hierarchical Evolution -- Reliability estimation of individual multi-target regression predictions -- Feedback Modulated Attention Within a Predictive Framework -- A Batch Infill Strategy for Computationally Expensive Optimization Problems -- Automatic Clustering and Summarisation of Microblogs: A Multi-Subtopic Phrase Reinforcement Algorithm -- Generation and exploration of architectural form using a composite Cellular Automata -- Wrapper Feature Construction for Figure-ground Image Segmentation Using Genetic Programming -- Surrogate-assisted Multi-swarm Particle Swarm Optimization of Morphing Airfoils -- Applying Dependency Patterns in Causal Discovery of Latent Variable Models -- An Evolutionary Multi-criteria Journey Planning Algorithm for Multi-modal Transportation Networks -- Estimating Passenger Preferences Using Implicit Relevance Feedback for Personalized Journey -- Quantitative Assessment of Hearts Function: A Hybrid Mechanism for Left Ventricles Segmentation from Cine MRI Sequences -- A Hybrid feature selection scheme based on local compactness and global separability for improving roller bearing diagnostic performance -- Reliable Fault Diagnosis of Bearings Using Distance and Density Similarity on an Enhanced k-NN -- Towards Solving TSPN with Arbitrary Neighborhoods: A Hybrid Solution -- Detectable Genetic Algorithms-based techniques for solving Dynamic Optimisation Problem with Unknown Active Variables -- Neighbourhood analysis: a case study on Google Machine Reassignment Problem -- Optimisation Algorithms and Applications -- Multi-Objective Optimisation with Multiple Preferred Regions -- An Adaptive Memetic Algorithm for the Architecture Optimisation Problem -- Resource Constrained Job Scheduling with Parallel Constraint-based ACO -- An Iterated Local Search with Guided Perturbation for the Heterogeneous Fleet Vehicle Routing Problem with Time Windows and Three-Dimensional Loading Constraints -- A Memetic Cooperative Co-evolution Model for Large Scale Continuous Optimization -- Investigating the Generality of Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown -- Exploratory Analysis of Clustering Problems Using a Comparison of Particle Swarm Optimization and Differential Evolution -- A PSO-based Reference Point Adaption Method for Genetic Programming Hyper-heuristic in Many-Objective Job Shop Scheduling -- Optimal power allocation of wireless sensor networks with multi-operator based constrained differential evolution -- CEMAB: A Cross-Entropy-based Method for Large-Scale Multi-Armed Bandits -- Binary PSO for Web Service Location-Allocation -- A MOEA/D with Non-uniform Weight Vector Distribution Strategy for Solving the Unit Commitment Problem in Uncertain Environment. 000779177 506__ $$aAccess limited to authorized users. 000779177 520__ $$aThis book constitutes the refereed proceedings of the Third Australasian Conference on Artificial Life and Computational Intelligence, ACALCI 2017, held in Geelong, VIC, Australia, in January/February 2017. The 32 papers presented in this volume were carefully reviewed and selected from 47 submissions. They were organized in topical sections named: artificial life and computational intelligence and optimization algorithms and applications. . 000779177 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 27, 2017). 000779177 650_0 $$aComputational intelligence$$vCongresses. 000779177 650_0 $$aArtificial life$$vCongresses. 000779177 7001_ $$aWagner, Markus,$$eeditor. 000779177 7001_ $$aLi, Xiaodong,$$cPh. D.,$$eeditor. 000779177 7001_ $$aHendtlass, Tim,$$d1945-$$eeditor. 000779177 77608 $$iPrint version:$$z9783319516905 000779177 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence ;$$v10142. 000779177 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence. 000779177 852__ $$bebk 000779177 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-51691-2$$zOnline Access$$91397441.1 000779177 909CO $$ooai:library.usi.edu:779177$$pGLOBAL_SET 000779177 980__ $$aEBOOK 000779177 980__ $$aBIB 000779177 982__ $$aEbook 000779177 983__ $$aOnline 000779177 994__ $$a92$$bISE