This book focuses on the idea of how to apply bio-inspired principles into VANET routing to improve road safety, and to ensure QoS of vehicular applications. Vehicular Ad-Hoc Networks (VANETs) play a key role developing Intelligent Transportation Systems (ITS), aiming to achieve…
Real-world engineering problems often require concurrent optimization of several design objectives, which are conflicting in cases. This type of optimization is generally called multi-objective or multi-criterion optimization. The area of research that applies evolutionary metho…
Overview of applications in power and energy systems -- Power system planning and operation -- Power system and power plant control -- Distribution system -- Integration of renewable energy in smart grid -- Electricity markets. "This book describes the use of metaheuristic appl…
Overview of applications in power and energy systems -- Power system planning and operation -- Power system and power plant control -- Distribution system -- Integration of renewable energy in smart grid -- Electricity markets. "This book describes the use of metaheuristic appl…
"This book describes the use of metaheuristic applications in the analysis and design of electric power systems. This includes discussion of optimum energy and commitment of generation (nonrenewable & renewable) and load resources during day-to-day operations and control activit…
This book constitutes the refereed proceedings of the 15th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2015, held in Copenhagen, Denmark, in April 2015, co-located with the Evo*2015 events EuroGP, EvoMUSART and EvoApplications. The 19 re…
This book constitutes the refereed proceedings of the 15th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2015, held in Copenhagen, Denmark, in April 2015, co-located with the Evo*2015 events EuroGP, EvoMUSART and EvoApplications. The 19 re…
This book describes the application of evolutionary computation in the automatic generation of a neural network architecture. The architecture has a significant influence on the performance of the neural network. It is the usual practice to use trial and error to find a suitable…
Evolution strategies have more than 50 years of history in the field of evolutionary computation. Since the early 1990s, many algorithmic variations of evolution strategies have been developed, characterized by the fact that they use the so-called derandomization concept for str…
ʺEvolution strategies have more than 50 years of history in the field of evolutionary computation. Since the early 1990s, many algorithmic variations of evolution strategies have been developed, characterized by the fact that they use the so-called derandomization concept for st…
Contemporary evolution strategies
by Bäck, Thomas, Krause, Peter, Foussette, Christophe
Evolution strategies have more than 50 years of history in the field of evolutionary computation. Since the early 1990s, many algorithmic variations of evolution strategies have been developed, characterized by the fact that they use the so-called derandomization concept for str…
Contemporary evolution strategies
by Bäck, Thomas, Krause, Peter, Foussette, Christophe
Evolution strategies have more than 50 years of history in the field of evolutionary computation. Since the early 1990s, many algorithmic variations of evolution strategies have been developed, characterized by the fact that they use the so-called derandomization concept for str…
A common approach for solving simulation-driven engineering problems is by using metamodel-assisted optimization algorithms, namely, in which a metamodel approximates the computationally expensive simulation and provides predicted values at a lower computational cost. Such algor…
