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Foraging-Inspired Optimisation Algorithms

of optimization algorithms that stem from a foraging metaphor. The authors first offer perspectives on foraging and foraging-inspired algorithms for;

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Foraging-Inspired Optimisation Algorithms

of optimization algorithms that stem from a foraging metaphor. The authors first offer perspectives on foraging and foraging-inspired algorithms for;

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Nature-Inspired Algorithms for Optimisation

Nature-Inspired Algorithms have been gaining much popularity in recent years due to the fact that many real-world optimisation problems;

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Particle Swarm Optimisation: Classical and Quantum Perspectives

their concept of quantum-behaved particles inspired by quantum mechanics, which leads to the quantum-behaved particle swarm optimisation (QPSO;

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Particle Swarm Optimisation: Classical and Quantum Perspectives

their concept of quantum-behaved particles inspired by quantum mechanics, which leads to the quantum-behaved particle swarm optimisation (QPSO;

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Global Optimization

Global optimisation is an important area of applied mathematics that has shown fast and growing development during the last few decades;

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Search and Foraging

Since the start of modern computing, the studies of living organisms have inspired the progress in developing computers and intelligent;

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Nature-Inspired Computation

. Nature-inspired computation has permeated into almost all areas of sciences, engineering and industries, from data mining to optimisation, from;

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Artificial Evolution

real world (industry, biosciences, ...), other biologically-inspired paradigms (swarm, artificial ants, artificial immune systems, cultural;

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Advances in Swarm Intelligence

177 submissions. They cover topics such as: Swarm Intelligence and Nature-Inspired Computing; Swarm-based Computing Algorithms for;

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Advances in Evolutionary Algorithms Research

no-free lunch theorem for optimisation no super algorithm exists for all optimisation problems. Therefore, the advances in this research;

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Systems Engineering Using Particle Swarm Optimization

Swarm intelligence is an innovative computational way to solve hard problems. This discipline is inspired by the behaviour of social insect;

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Pathway Modeling & Algorithm Research

approximation schemes for functional optimisation.;

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Shortest Path Solvers. From Software to Wetware

behaviour and protoplasmic network optimisation by the slime mould Physarum polycephalum and fluidic devices, while experimental laboratory;

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Optimisation in Signal and Image Processing

This book describes the optimization methods most commonly encountered in signal and image processin;...

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Bio-Inspired Fault-Tolerant Algorithms for Network-on-Chip

Network on Chip (NoC) addresses the communication requirement of different nodes on System on Chip. The bio-inspired algorithms improve the;

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Bio-inspired Algorithms for Engineering

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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Advances in Swarm Intelligence

selected from 127 submissions. The papers are organized in 12 cohesive topical sections as follows: Swarm intelligence and nature-inspired;

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Mesh Dependence in PDE Constrained Optimisation

This book provides an introduction to PDE-constrained optimisation using finite elements and the adjoint approach. The practical impact;

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Nature-Inspired Computation and Swarm Intelligence

Nature-inspired computation and swarm intelligence have become popular and effective tools for solving problems in optimization;

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Discrete Problems in Nature Inspired Algorithms

problems, path formation problems, etc. Each chapter includes the introduction of the basic traditional nature inspired algorithm and discussion;

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Discrete Problems in Nature Inspired Algorithms

problems, path formation problems, etc. Each chapter includes the introduction of the basic traditional nature inspired algorithm and discussion;

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Nature-Inspired Optimization Algorithms

superior in performance. Nature has a rich abundance of flora and fauna that inspired the development of nature inspired optimization techniques;

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Mathematical Foundations of Nature-Inspired Algorithms

This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an introduction to optimization methods and;

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Applications of Evolutionary Computation

(evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication;

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Applications of Evolutionary Computation

(evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication;

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Socio cultural Inspired Metaheuristics

This book presents the latest insights and developments in the field of socio-cultural inspired algorithms. Akin to evolutionary and swarm;

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