Advances in Swarm Intelligence for Optimizing Problems in Computer Science

Advances in Swarm Intelligence: Variatio

📁 Advances in Swarm Intelligence: Variations and Adaptations for Optimization Problems

✍ Anupam Biswas, Can B. Kalayci, Seyedali Mirjalili 📂 Library 📅 2022 🏛 Springer 🌐 English

Swarm Intelligence (SI) has grown significantly, both from the perspective of algorithmic development and applications covering almost all disciplines science and technology. This book emphasizes the studies of existing SI techniques, their variants and applications. The book also contains rev

Advances in Swarm Intelligence. Variatio

📁 Advances in Swarm Intelligence. Variations and Adaptations for Optimization Problems

✍ Anupam Biswas, Can B. Kalayci, Seyedali Mirjalili 📂 Library 📅 2023 🏛 Springer 🌐 English

Computational Intelligence in Expensive

📁 Computational Intelligence in Expensive Optimization Problems

✍ L. Shi, K. Rasheed (auth.), Yoel Tenne, Chi-Keong Goh (eds.) 📂 Library 📅 2010 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

In modern science and engineering, laboratory experiments are replaced by high fidelity and computationally expensive simulations. Using such simulations reduces costs and shortens development times but introduces new challenges to design optimization process. Examples of such challenges inclu

Computational Intelligence in Expensive

📁 Computational Intelligence in Expensive Optimization Problems

✍ L. Shi, K. Rasheed (auth.), Yoel Tenne, Chi-Keong Goh (eds.) 📂 Library 📅 2010 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

In modern science and engineering, laboratory experiments are replaced by high fidelity and computationally expensive simulations. Using such simulations reduces costs and shortens development times but introduces new challenges to design optimization process. Examples of such challenges inclu

Advances in Bio-inspired Computing for C

📁 Advances in Bio-inspired Computing for Combinatorial Optimization Problems

✍ Camelia-Mihaela Pintea (auth.) 📂 Library 📅 2014 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

"Advances in Bio-inspired Combinatorial Optimization Problems" illustrates several recent bio-inspired efficient algorithms for solving NP-hard problems.Theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots are described. Large-scale optimizatio

Recent Advances in Evolutionary Computat

📁 Recent Advances in Evolutionary Computation for Combinatorial Optimization (Studies in Computational Intelligence, 153)

✍ Carlos Cotta (editor), Jano van Hemert (editor) 📂 Library 📅 2008 🏛 Springer 🌐 English

Combinatorial optimisation is a ubiquitous discipline whose usefulness spans vast applications domains. The intrinsic complexity of most combinatorial optimisation problems makes classical methods unaffordable in many cases. To acquire practical solutions to these problems requires the use