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Article
Publication date: 23 August 2011

Hongwei Mo and Lifang Xu

Biogeography‐based optimization algorithm is a new kind of optimization algorithm based on biogeography. It is designed based on the migration strategy of animals to solve…

Abstract

Purpose

Biogeography‐based optimization algorithm is a new kind of optimization algorithm based on biogeography. It is designed based on the migration strategy of animals to solve the problem of optimization. The purpose of this paper is to present a new algorithm – biogeography migration algorithm for traveling salesman problem (TSPBMA). A new special migration operator is designed for producing new solutions.

Design/methodology/approach

The paper gives the definition of TSP and models of TSPBMA; introduces the algorithm of TSPBMA in detail and gives the proof of convergence in theory; provides simulation results of TSPBMA compared with other optimization algorithms for TSP and presents some concluding remarks and suggestions for further work.

Findings

The TSPBMA is tested on some classical TSP problems. The comparison results with the other nature‐inspired optimization algorithms show that TSPBMA is useful for TSP combination optimization. Especially, the designed migration operator is very effective for TSP solving. Although the proposed TSPBMA is not better than ant colony algorithm in the respect of convergence speed and accuracy, it provides a new way for this kind of problem.

Originality/value

The migration operator is a new strategy for solving TSPs. It has never been used by any other evolutionary algorithm or swarm intelligence before TSPBMA.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 4 no. 3
Type: Research Article
ISSN: 1756-378X

Keywords

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Article
Publication date: 5 May 2015

Weiren Zhu and Haibin Duan

The purpose of this paper is to propose a novel Unmanned Combat Air Vehicle (UCAV) flight controller parameters identification method, which is based on predator-prey…

Abstract

Purpose

The purpose of this paper is to propose a novel Unmanned Combat Air Vehicle (UCAV) flight controller parameters identification method, which is based on predator-prey Biogeography-Based Optimization (PPBBO) algorithm, with the objective of optimizing the whole UCAV system design process.

Design/methodology/approach

The hybrid model of predator-prey theory and biogeography-based optimization (BBO) algorithm is established for parameters identification of UCAV. This proposed method identifies controller parameters and reduces the computational complexity.

Findings

The basic BBO is improved by modifying the search strategy and adding some limits, so that it can be better applied to the parameters identification problem. Comparative experimental results demonstrated the feasibility and effectiveness of the proposed method: it can guarantee finding the optimal controller parameters, with the rapid convergence.

Practical implications

The proposed PPBBO algorithm can be easily applied to practice and can help the design of the UCAV flight control system, which will considerably increase the autonomy of the UCAV.

Originality/value

A hybrid model of predator-prey theory and BBO algorithm is proposed for parameters identification of UCAV, and a PPBBO-based software platform for UCAV controller design is also developed.

Details

Aircraft Engineering and Aerospace Technology: An International Journal, vol. 87 no. 3
Type: Research Article
ISSN: 0002-2667

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Article
Publication date: 9 March 2015

Jehad Ababneh

– The purpose of this paper is to propose an algorithm that combines the particle swarm optimization (PSO) with the biogeography-based optimization (BBO) algorithm.

Abstract

Purpose

The purpose of this paper is to propose an algorithm that combines the particle swarm optimization (PSO) with the biogeography-based optimization (BBO) algorithm.

Design/methodology/approach

The BBO and the PSO algorithms are jointly used in to order to combine the advantages of both algorithms. The efficiency of the proposed algorithm is tested using some selected standard benchmark functions. The performance of the proposed algorithm is compared with that of the differential evolutionary (DE), genetic algorithm (GA), PSO, BBO, blended BBO and hybrid BBO-DE algorithms.

Findings

Experimental results indicate that the proposed algorithm outperforms the BBO, PSO, DE, GA, and the blended BBO algorithms and has comparable performance to that of the hybrid BBO-DE algorithm. However, the proposed algorithm is simpler than the BBO-DE algorithm since the PSO does not have complex operations such as mutation and crossover used in the DE algorithm.

Originality/value

The proposed algorithm is a generic algorithm that can be used to efficiently solve optimization problems similar to that solved using other popular evolutionary algorithms but with better performance.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 8 no. 1
Type: Research Article
ISSN: 1756-378X

Keywords

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Article
Publication date: 1 March 2013

Zhang Ping, Wei Ping, Fei Chun and Yu Hong‐yang

This paper proposes a hybrid biogeography‐based optimization (BBO) with simplex method (SM) algorithm (HSMBBO).

Abstract

Purpose

This paper proposes a hybrid biogeography‐based optimization (BBO) with simplex method (SM) algorithm (HSMBBO).

Design/methodology/approach

BBO is a new intelligent optimization algorithm. The global optimization ability of BBO is better than that of genetic algorithm (GA) and particle swarm optimization (PSO), but BBO also easily falls into local minimum. To improve BBO, HSMBBO combines BBO and SM, which makes full use of the high local search ability of SM. In HSMBBO, BBO is used firstly to obtain the current global solution. Then SM is searched to acquire the optimum solution based on that global solution. Due to the searching of SM, the search range is expanded and the speed of convergence is faster. Meanwhile, HSMBBO is applied to motion estimation of video coding.

Findings

In total, six benchmark functions with multimodal and high dimension are tested. Simulation results show that HSMBBO outperforms GA, PSO and BBO in converging speed and global search ability. Meanwhile, the application results show that HSMBBO performs better than GA, PSO and BBO in terms of both searching precision and time‐consumption.

Originality/value

The proposed algorithm improves the BBO algorithm and provides a new approach for motion estimation of video coding.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 32 no. 2
Type: Research Article
ISSN: 0332-1649

Keywords

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Article
Publication date: 13 June 2016

Qingzheng Xu, Na Wang and Lei Wang

The purpose of this paper is to examine and compare the entire impact of various execution skills of oppositional biogeography-based optimization using the current optimum…

Abstract

Purpose

The purpose of this paper is to examine and compare the entire impact of various execution skills of oppositional biogeography-based optimization using the current optimum (COOBBO) algorithm.

Design/methodology/approach

The improvement measures tested in this paper include different initialization approaches, crossover approaches, local optimization approaches, and greedy approaches. Eight well-known traveling salesman problems (TSP) are employed for performance verification. Four comparison criteria are recoded and compared to analyze the contribution of each modified method.

Findings

Experiment results illustrate that the combination model of “25 nearest-neighbor algorithm initialization+inver-over crossover+2-opt+all greedy” may be the best choice of all when considering both the overall algorithm performance and computation overhead.

Originality/value

When solving TSP with varying scales, these modified methods can enhance the performance and efficiency of COOBBO algorithm in different degrees. And an appropriate combination model may make the fullest possible contribution.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 9 no. 2
Type: Research Article
ISSN: 1756-378X

Keywords

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Article
Publication date: 30 March 2012

Chung Yim Yiu and Sherry Y.S. Xu

The purpose of this paper is to develop a novel tenant mix model for shopping malls based on an analogy from ecological theories.

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Abstract

Purpose

The purpose of this paper is to develop a novel tenant mix model for shopping malls based on an analogy from ecological theories.

Design/methodology/approach

This study empirically investigates the tenant species‐area relationship and tenant species‐abundance distribution in shopping malls. In this study, the tests on species‐area relationship and species‐abundance distribution in shopping malls are derived from ecological theories. Empirical tests by a sample of 18 shopping malls for the species‐area relationship and of five malls for the species‐abundance distribution are carried out in Hong Kong

Findings

It shows that, in line with the findings of biogeography, the tenant species‐area relationship follows a power law of exponent of about 0.20. Furthermore, the species‐abundance distributions of the five large‐scale malls are found to be closely in track with a geometric distribution as commonly found in ecology. These results imply that tenant mix strategies are governed by two principles: the number of tenant species is related to the mall size; and the shop area allocation follows a geometric distribution.

Research limitations/implications

The study provides the first quantitative tenant mix model on the number of tenant species in a particular mall size, and on the tenant species abundance distribution pattern. These results provide far‐reaching implications for research and practice, including a quantitative benchmarking of tenant mix strategy and an optimal design of shopping malls.

Practical implications

The model is the first tenant mix model for practitioners to formulate quantitative tenant mix strategy, and evaluate the effects of tenant mix on the performance of a shopping mall.

Originality/value

It is the first quantitative model for tenant mix, and would open up a novel agenda for research on tenant mix strategies.

Details

European Journal of Marketing, vol. 46 no. 3/4
Type: Research Article
ISSN: 0309-0566

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Article
Publication date: 20 April 2020

Nurcan Sarikaya Basturk and Abdurrahman Sahinkaya

The purpose of this paper is to present a detailed performance comparison of recent and state-of-the-art population-based optimization algorithms for the air traffic…

Abstract

Purpose

The purpose of this paper is to present a detailed performance comparison of recent and state-of-the-art population-based optimization algorithms for the air traffic control problem.

Design/methodology/approach

Landing sequence and corresponding landing times for the aircrafts were determined by using population-based optimization algorithms such as artificial bee colony, particle swarm, differential evolution, biogeography-based optimization, simulated annealing, firefly and teaching–learning-based optimization. To obtain a fair comparison, all simulations were repeated 30 times for each of the seven algorithms, two different problems and two different population sizes, and many different criteria were used.

Findings

Compared to conventional methods that depend on a single solution at the same time, population-based algorithms have simultaneously produced many alternate possible solutions that can be used recursively to achieve better results.

Research limitations/implications

In some cases, it may take slightly longer to obtain the optimum landing sequence and times compared to the methods that give a direct result; however, the processing times can be reduced using powerful computers or GPU computations.

Practical implications

The simulation results showed that using population-based optimization algorithms were useful to obtain optimal landing sequence and corresponding landing times. Thus, the proposed air traffic control method can also be used effectively in real airport applications.

Social implications

By using population-based algorithms, air traffic control can be performed more effectively. In this way, there will be more efficient planning of passengers’ travel schedules and efficient airport operations.

Originality/value

The study compares the performances of recent and state-of-the-art optimization algorithms in terms of effective air traffic control and provides a useful approach.

Details

Aircraft Engineering and Aerospace Technology, vol. 92 no. 6
Type: Research Article
ISSN: 1748-8842

Keywords

Content available
Article
Publication date: 17 July 2020

Nani Maiya Sujakhu, Sailesh Ranjitkar, Hua Yang, Yufang Su, Jianchu Xu and Jun He

This paper aims to document the adaptation strategies developed by local farmers to adjust to climate change and related hazards in Lijiang Prefecture in Southwest China…

Abstract

Purpose

This paper aims to document the adaptation strategies developed by local farmers to adjust to climate change and related hazards in Lijiang Prefecture in Southwest China, and quantify the determinants of the adaptation measures.

Design/methodology/approach

The study conducted a household survey with 433 respondents in Lijiang to documents adaptation measures. The authors used a multivariate probit model to quantify five categories of adaptation measures against a set of household features, extension and information, resources, social network, financial assets and perception variables.

Findings

The most significant determinants consisted of information on early climate warnings and impending hazards, ownership to land and livestock, irrigation membership in community-based organisations, household savings, cash crop farming and perceptions of climate change and its related hazards. Adaptation strategies and policies highlighting these determinants could help to improve climate change adaptation in the region.

Originality/value

This study quantified the determinants of adaptive strategies and mapped important determinants for the region that will provide farmers with the appropriate resources and information to implement the best practices for adapting to climatic changes. The method and findings could be useful and easily replicable for future agriculture policies.

Details

International Journal of Climate Change Strategies and Management, vol. 12 no. 4
Type: Research Article
ISSN: 1756-8692

Keywords

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Article
Publication date: 1 April 1981

I.W.B. Nye

Systematics is often used, or rather misused, as a synonym of taxonomy, to mean classification. Systematics is, however, a much more general term covering the study of the…

Abstract

Systematics is often used, or rather misused, as a synonym of taxonomy, to mean classification. Systematics is, however, a much more general term covering the study of the diversity of organisms, and includes such subjects as genetics, biogeography, taxonomy and nomenclature.

Details

Aslib Proceedings, vol. 33 no. 4
Type: Research Article
ISSN: 0001-253X

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Article
Publication date: 1 March 1982

Elisabeth B. Davis

There have been several developments during the past year that will aid biologists in their constant battle to keep up with the scientific and technical literature. The…

Abstract

There have been several developments during the past year that will aid biologists in their constant battle to keep up with the scientific and technical literature. The Institute for Scientific Information (ISI) has introduced three new online services that are designed for current awareness and retrospective searches: ISI/CompuMath — access to pure and applied math literature; ISI/ISTP&B — index to scientific proceedings and books; and ISI/BIOMED — research front specialties in biomedicine.

Details

Reference Services Review, vol. 10 no. 3
Type: Research Article
ISSN: 0090-7324

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