85 Result(s)
within
Chapter
**n-She Yang
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Chapter and Conference Paper
Parameter Tuning of the Firefly Algorithm by Standard Monte Carlo and Quasi-Monte Carlo Methods
Almost all optimization algorithms have algorithm-dependent parameters, and the setting of such parameter values can significantly influence the behavior of the algorithm under consideration. Thus, proper para...
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Chapter
Nature-Inspired Algorithms in Optimization: Introduction, Hybridization, and Insights
Many problems in science and engineering are optimization problems, which may require sophisticated optimization techniques to solve. Nature-inspired algorithms are a class of metaheuristic algorithms for opti...
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Chapter
Ten New Benchmarks for Optimization
Benchmarks are used for testing new optimization algorithms and their variants to evaluate their performance. Most existing benchmarks are smooth functions. This chapter introduces ten new benchmarks with diff...
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Chapter
Review of Parameter Tuning Methods for Nature-Inspired Algorithms
Almost all optimization algorithms have algorithm-dependent parameters, and the setting of such parameter values can largely influence the behavior of the algorithm under consideration. Thus, proper parameter ...
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Chapter
Soccer-Inspired Metaheuristics: Systematic Review of Recent Research and Applications
Since the proposal of metaheuristics such as Genetic Algorithm, Particle Swarm Optimization or Ant Colony Optimization, methods inheriting their core concepts have gained great popularity, lasting this momentu...
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Chapter
Applied Optimization and Swarm Intelligence: A Systematic Review and Prospect Opportunities
Optimization is one of the most studied fields within the wider area of artificial intelligence. In the current literature, hundreds of works can be found focused on solving many diverse problems of this kind ...
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Chapter and Conference Paper
Optimum Design of Tuned Mass Dampers for Adjacent Structures via Flower Pollination Algorithm
It is a very known issue that tuned mass dampers (TMDs) on an effective system for structures subjected to earthquake excitations. TMDs can be also used as a protective system for adjacent structures that may ...
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Chapter
Navigation, Routing and Nature-Inspired Optimization
Navigation abilities are crucial for survival in nature, and there are a wide range of sophisticated abilities concerning animal navigation and migration. Many applications are related to navigation and routin...
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Chapter and Conference Paper
Study on the Influence of Different Preheating Conditions on Carbon Structure of 1/3 Coking Coal
The 1/3 , a kind of typical in the cokemaking process, was used as raw materials in this study. Coal materials were preheated to 200 °C, 300 °C, 350 °C, 380 °C, 400 ℃, and 420 °C, respectively, by two ways,...
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Chapter
Is the Vehicle Routing Problem Dead? An Overview Through Bioinspired Perspective and a Prospect of Opportunities
Route planning is a research topic in artificial intelligence of paramount importance for a plethora of applications related to transportation and mobility. Problems related to the discovery of optimal routes ...
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Chapter
Firefly Algorithm and Its Variants in Digital Image Processing: A Comprehensive Review
The significance and requirements of digital image processing arise from two main areas of applications: the improvement of visual information for human interpretation and the encoding of scene data for the in...
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Chapter and Conference Paper
COEBA: A Coevolutionary Bat Algorithm for Discrete Evolutionary Multitasking
Multitasking optimization is an emerging research field which has attracted lot of attention in the scientific community. The main purpose of this paradigm is how to solve multiple optimization problems or tas...
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Chapter
Nature-Inspired Algorithms
The literature of nature-inspired algorithms and swarm intelligence is expanding rapidly, here we will introduce some of the most recent and widely used nature-inspired optimization algorithms.
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Chapter
Applications of Nature-Inspired Algorithms
Nature-inspired algorithms have become powerful and popular for solving problems in optimization, computational intelligence, data mining, machine learning, transport and vehicle routing. After the theoretical...
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Chapter
Mathematical Analysis of Algorithms: Part II
The perspectives of analysing algorithms we have given so far have been mainly following the mainstream literature on optimization, numerical analysis and operations research. Algorithms can also be analysed f...
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Chapter and Conference Paper
Comparison of Constraint-Handling Techniques for Metaheuristic Optimization
Many design problems in engineering have highly nonlinear constraints and the proper handling of such constraints can be important to ensure solution quality. There are many different ways of handling constrai...
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Chapter
Mathematical Analysis of Algorithms: Part I
With the introduction of some of the major nature-inspired algorithms and the brief outline of mathematical foundations, now we are ready to analyse these algorithms in great detail. Obviously, we can analyse ...
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Chapter
Introduction to Optimization
Optimization is part of many university courses because of its importance in many disciplines and applications such as engineering design, business planning, computer science, data mining, machine learning, ar...
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Chapter
Mathematical Foundations
Before we proceed to analyse any nature-inspired algorithms from at least ten different perspectives, let us review the mathematical fundamentals concerning convergence, stability and probability distributions.
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Chapter
Optimization in Civil Engineering and Metaheuristic Algorithms: A Review of State-of-the-Art Developments
The aim of this state-of-the-art review is to present the recent progress about the design optimization and applications of metaheuristic algorithms in civil engineering. In this chapter, the importance of opt...
