Journal ArticleDOI
Survey A survey on applications of the harmony search algorithm
Diana Manjarres,Itziar Landa-Torres,Sergio Gil-Lopez,J. Del Ser,Miren Nekane Bilbao,Sancho Salcedo-Sanz,Zong Woo Geem +6 more
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TLDR
This paper thoroughly reviews and analyzes the main characteristics and application portfolio of the so-called Harmony Search algorithm, a meta-heuristic approach that has been shown to achieve excellent results in a wide range of optimization problems.About:
This article is published in Engineering Applications of Artificial Intelligence.The article was published on 2013-09-01. It has received 324 citations till now. The article focuses on the topics: Harmony search & Application portfolio management.read more
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A survey on new generation metaheuristic algorithms
TL;DR: In this survey, fourteen new and outstanding metaheuristics that have been introduced for the last twenty years other than the classical ones such as genetic, particle swarm, and tabu search are distinguished.
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African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems
TL;DR: The proposed African Vultures Optimization Algorithm (AVOA) is named and simulates African vultures’ foraging and navigation behaviors and indicates the significant superiority of the AVOA algorithm at a 95% confidence interval.
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A new bio-inspired optimisation algorithm: Bird Swarm Algorithm
TL;DR: A new bio-inspired algorithm, namely Bird Swarm Algorithm (BSA), is proposed for solving optimisation applications based on the swarm intelligence extracted from the social behaviours and social interactions in bird swarms.
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A novel bat algorithm with habitat selection and Doppler effect in echoes for optimization
TL;DR: Simulations and comparisons demonstrate the effectiveness, efficiency and stability of NBA compared with the basic BA and some well-known algorithms, and suggest that to improve algorithm based on biological basis should be very efficient.
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Nature Inspired Computing: An Overview and Some Future Directions
Nazmul Siddique,Hojjat Adeli +1 more
TL;DR: An overview of significant advances made in the emerging field of nature-inspired computing with a focus on the physics- and biology-based approaches and algorithms is presented.
References
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Journal ArticleDOI
No free lunch theorems for optimization
TL;DR: A framework is developed to explore the connection between effective optimization algorithms and the problems they are solving and a number of "no free lunch" (NFL) theorems are presented which establish that for any algorithm, any elevated performance over one class of problems is offset by performance over another class.
Journal ArticleDOI
A New Heuristic Optimization Algorithm: Harmony Search
TL;DR: A new heuristic algorithm, mimicking the improvisation of music players, has been developed and named Harmony Search (HS), which is illustrated with a traveling salesman problem (TSP), a specific academic optimization problem, and a least-cost pipe network design problem.
Lecture Notes in Artificial Intelligence
P. Brezillon,P. Bouquet +1 more
TL;DR: The topics in LNAI include automated reasoning, automated programming, algorithms, knowledge representation, agent-based systems, intelligent systems, expert systems, machine learning, natural-language processing, machine vision, robotics, search systems, knowledge discovery, data mining, and related programming languages.
Book
Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models
TL;DR: In this paper, the authors present a method for sensitivity analysis of a fish population model using Monte Carlo filtering and variance-based methods, which is based on the Bayesian uncertainty estimation.
Journal ArticleDOI
An improved harmony search algorithm for solving optimization problems
TL;DR: The impacts of constant parameters on harmony search algorithm are discussed and a strategy for tuning these parameters is presented and the proposed algorithm can find better solutions when compared to HS and other heuristic or deterministic methods.