A diversity metric for population-based metaheuristic algorithms

Osuna-Enciso, Valentín; Cuevas, Erik; Morales-Castañeda, Bernardo

doi:10.1016/j.ins.2021.11.073

Cited by 41 publications

(12 citation statements)

References 40 publications

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“…This migration process is employed in the WaOA to guide the walruses in the search space to discover suitable areas in the search space. This behavioral mechanism is mathematically modeled using ( 5) and (6). This modeling assumes that each walrus migrates to another walrus (randomly selected) position in another area of the search space.…”

Section: Phase 2: Migrationmentioning

confidence: 99%

“…In contrast, exploitation refers to the ability to search locally around the available solutions and the promising areas to converge to the global optimal. Balancing exploration and exploitation is the key to the success of metaheuristic algorithms in achieving effective solutions 6 . Achieving better quasi-optimal solutions has been the main challenge and reason for researchers' development of various metaheuristic algorithms.…”

Section: Introductionmentioning

confidence: 99%

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Walrus Optimization Algorithm: A New Bio-Inspired Metaheuristic Algorithm

Trojovský

Dehghani

2022

Preprint

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In this paper, a new bio-Inspired metaheuristic algorithm called Walrus Optimization Algorithm (WaOA) mimics walrus behaviors in nature. The fundamental inspirations employed in WaOA design are the process of feeding, migrating, escaping, and fighting predators. The WaOA implementation steps are mathematically modeled in three different phases exploration, migration, and exploitation. Sixty-eight standard benchmark functions have been employed to evaluate WaOA performance in optimization applications. The ability of WaOA to provide solutions to optimization problems has been compared with the results of ten well-known metaheuristic algorithms. The simulation results show that WaOA, with its high capability in balancing exploration and exploitation, offers superior performance and is far more competitive than the ten compared algorithms. In addition, the use of WaOA in addressing four design engineering issues demonstrates the apparent effectiveness of WaOA in real-world applications.

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Section: Phase 2: Migrationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Walrus Optimization Algorithm: A New Bio-Inspired Metaheuristic Algorithm

Trojovský

Dehghani

2022

Preprint

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“…In practice, the tasks of algorithms can be divided into 2 major search procedures: the first is exploration, which operates in the whole area, and the second is exploitation, which examines a local part of the search space. [22] Algorithms of this type usually "work" on the basis of their food-seeking, navigational, or collective intelligence behaviors and simulate these behaviors to solve a given problem. The introduction of new metaheuristics to solve various search problems is growing year by year and is leading to the discovery of many new algorithms.…”

Section: Recent Metaheuristics Of Decision-making Processesmentioning

confidence: 99%

Innovative methods and research directions in the field of logistics

Bíró

Németh

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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By the 21st century, logistics and various supply chains had become key units in the global market and corporate structures. Industry 4.0 has brought developments and implementations to life that have drastically changed and are still changing the practices used in certain areas of logistics. Many new technologies (advanced robotics, additive manufacturing, artificial intelligence (AI), blockchain, drones, Internet of Things (IoT)) have emerged in the digital world, which many companies are using to develop cyber-physical systems in order to increase efficiency, speed, accuracy and the ability to change and steer competition between companies around the world. Planning tasks at the strategic, tactical and operational levels are covered in the areas of production and logistics. The tasks presented here can be identified as extremely complex optimization problems that belong to the np-hard complexity class. These can be addressed in many cases with metaheuristics, and industry also often uses search strategies inspired by biological or physical processes. Metaheuristic algorithms simulate the behavior of a selected phenomenon in a given search area. Algorithms based on various principles can help optimize processes, such as: population-based algorithms, evolutionary methods, behavior-inspired procedures, swarm intelligence methods, etc. New technologies or metaheuristic procedures are also increasingly used in logistics due to the complexity of the tasks. This paper presents theoretical application possibilities of digital transformation, AI and IoT in the field of logistics. The paper provides a further brief overview of the problems surrounding metaheuristics, supported by examples. The article shows the impact of different Industry 4.0 technologies on logistics. There is a shortage of such comprehensive studies, so the article helps provide insight into innovative optimization opportunities in a larger area - the field of logistics. Within this one paper, the impact of new technologies on the field of logistics was collected. A brief description of these will help to identify further directions and deepen the applicability of the new methods in logistics.

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“… 2021 ; Osuna-Enciso et al. 2022 ). They assign complex tasks to individuals in a group to complete cooperation, and have the characteristics of simple concept and convenient implementation (Chaturvedi et al.…”

Section: Introductionmentioning

confidence: 99%

A survey on binary metaheuristic algorithms and their engineering applications

Pan

Snåšel

et al. 2022

Artif Intell Rev

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This article presents a comprehensively state-of-the-art investigation of the engineering applications utilized by binary metaheuristic algorithms. Surveyed work is categorized based on application scenarios and solution encoding, and describes these algorithms in detail to help researchers choose appropriate methods to solve related applications. It is seen that transfer function is the main binary coding of metaheuristic algorithms, which usually adopts Sigmoid function. Among the contributions presented, there were different implementations and applications of metaheuristic algorithms, or the study of engineering applications by different objective functions such as the single- and multi-objective problems of feature selection, scheduling, layout and engineering structure optimization. The article identifies current troubles and challenges by the conducted review, and discusses that novel binary algorithm, transfer function, benchmark function, time-consuming problem and application integration are need to be resolved in future.

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A diversity metric for population-based metaheuristic algorithms

Cited by 41 publications

References 40 publications

Walrus Optimization Algorithm: A New Bio-Inspired Metaheuristic Algorithm

Walrus Optimization Algorithm: A New Bio-Inspired Metaheuristic Algorithm

Innovative methods and research directions in the field of logistics

A survey on binary metaheuristic algorithms and their engineering applications

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