Titlebook: Metaheuristics; Patrick Siarry Book 2016 Springer International Publishing Switzerland 2016 Computational Intelligence.Evolutionary comput

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Particle Swarms,In this chapter, the reader is assumed to have some basic notions about iterative optimization algorithms, in particular what a definition space and a statistical distribution are. The sections headed “Formalization” can be ignored on first reading.

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Nature Inspires New Algorithms,Nature modeling is a leading trend in optimization methods. While genetic algorithms, ant-based methods, and particle swarm optimization are well-known examples, there is a continuous emergence of new algorithms inspired by nature. In this chapter, we give a short overview of the most recent promising new algorithms.

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Extension of Evolutionary Algorithms to Constrained Optimization,Optimization problems from the industrial world must often respect a number of constraints. These are expressed as a set of relationships that the variables of the objective function must satisfy. These relationships are usually presented as equalities and inequalities that may be very hard to deal with.

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Metaheuristics for Vehicle Routing Problems,The basic problem of vehicle routing is a classical operations research problem, known to be NP-hard Leung et al., Eur J Op Res 225(2): 199–210, 2013, [.] and called the . (VRP) or . (CVRP).It consists in determining a least-cost set of routes from a depot for a fleet of capacitated vehicles in order to meet the demands of a set of customers.

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