<p><p><i>Evolutionary Algorithms</i> (EAs) are population-based, stochastic search algorithms that mimic natural evolution. Due to their ability to find excellent solutions for conventionally hard and dynamic problems within acceptable time, EAs have attracted interest from many researchers and prac
Variants of Evolutionary Algorithms for Real-World Applications
β Scribed by Raymond Chiong, Thomas Weise, Zbigniew Michalewicz (eds.)
- Publisher
- Springer
- Year
- 2012
- Tongue
- English
- Leaves
- 469
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Evolutionary Optimization
Introduction
Metaheuristics
What Are βEvolutionary Algorithms??
Principles Inspired by Nature
The Basic Cycle of EAs
Do All EAs Fit to the Basic Cycle?
Conventional EAs
Memetic Computing
MAs as an Extension of EAs
Can All MAs Be Considered EAs?
Swarm Intelligence
Particle Swarm Optimization
Is PSO an EA?
Ant Colony Optimization
Is ACO an EA?
Concluding Remarks
References
An Evolutionary Approach to Practical Constraints in Scheduling: A Case-Study of the Wine Bottling Problem
References
A Memetic Framework for Solving the Lot Sizing and Scheduling Problem in Soft Drink Plants
References
Simulation-Based Evolutionary Optimization of Complex Multi-Location Inventory Models
References
A Fuzzy-Evolutionary Approach to the Problem of Optimisation and Decision-Support in Supply Chain Networks
Introduction
References
A Genetic-Based Solution to the Task-Based Sailor Assignment Problem
References
Genetic Algorithms for Manufacturing Process Planning
References
A Fitness Granulation Approach for Large-Scale Structural Design Optimization
References
A Reinforcement Learning Based Hybrid Evolutionary Algorithm for Ship Stability Design
References
An Interactively Constrained Neuro-Evolution Approach for Behavior Control of Complex Robots
References
A Genetic Programming-Based Approach for the Performance Characteristics Assessment of Stabilized Soil
References
Evolving Cellular Neural Networks for the Automated Segmentation of Multiple Sclerosis Lesions
References
An Evolutionary Algorithm for Skyline Query Optimization
Conclusions and Future Work
References
A Bio-inspired Approach to Self-organization of Mobile Nodes in Real-Time Mobile Ad Hoc Network Applications
References
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