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Advances in Bio-inspired Combinatorial Optimization Problems illustrates several recent bio-inspired efficient algorithms for solving NP;
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The vehicle routing problem (VRP) is one of the most famous combinatorial optimization problems. In simple terms, the goal is to determine;
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, SI techniques provide a natural solution through a distributed approach for the adaptive routing for MANETs. In SI techniques, the;
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, SI techniques provide a natural solution through a distributed approach for the adaptive routing for MANETs. In SI techniques, the;
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Wireless Sensor Networks: Evolutionary Algorithms for Optimizing Performance provides an integrative overview of bio-inspired algorithms;
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Bio-inspired Algorithms for Engineering builds a bridge between the proposed bio-inspired algorithms developed in the past few decades and;
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routing problems. It also reviews the approximation methods and recent nature-inspired approaches for practical navigation, and compares these;
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routing problems. It also reviews the approximation methods and recent nature-inspired approaches for practical navigation, and compares these;
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in-depth information regarding bio-inspired algorithms solving real world problems focussing on fault-tolerant algorithms inspired by the;
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protocols for routing in VANETs will be described. We propose two main categories to be presented: classical routing and bio-inspired routing;
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Smart Delivery Systems: Solving Complex Vehicle Routing Problems examines both exact and approximate methods for delivering optimal;
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portfolio of significant technical advances that have evolved over the past few years for modeling and solving vehicle routing problems and VRP;
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This timely review book summarizes the state-of-the-art developments in nature-inspired optimization algorithms and their applications;
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is not on the application of algorithms to specific or general domains but to provide an update on recent research trends for bio-inspired;
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Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades. Bio-inspired algorithms such as;
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Bio-Inspired Computation and Applications in Image Processing summarizes the latest developments in bio-inspired computation in image;
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of solutions to this problem is based on the position-based routing paradigm, whereby the forwarding nodes rely solely on the knowledge of their;
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computation), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms;
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computation), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms;
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propose new fuzzy and bio-inspired models to solve general problems. The second part deals with the main theme of modular neural networks;
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processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoNUM (bio-inspired algorithms for;
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processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoNUM (bio-inspired algorithms for;
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techniques in industrial settings), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation;
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telematics-enabled information system that can be employed by commercial fleet operators for real-time monitoring, control, and planning. The book;
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Bio-inspired computing (BIC) focuses on the designs and developments of computer algorithms and models based on biological mechanisms and;
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This book discusses in-depth role of optimization to optimize the controller parameters with reference to bio-inspired algorithms;
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