Titlebook: New Advancements in Swarm Algorithms: Operators and Applications; Erik Cuevas,Fernando Fausto,Adrián González Book 2020 Springer Nature Sw

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A Swarm Algorithm Inspired by the Collective Animal Behavior, groups, such as schools of fish, flocks of birds, swarms of locusts, and herds of wildebeest, that exhibit a variety of behaviors including swarming about a food source, milling around a central location or migrating over large distances in aligned groups. These collective behaviors are often advan

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Locust Search Algorithm Applied to Multi-threshold Segmentation, have two difficulties (1) sub-optimal results (2) the number of classes is previously known. In this chapter presented an algorithm that automatic selection of this classes for image segmentation whit a new objective function in gaussian mixture model. The optimization algorithm called Locust Searc

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Multimodal Swarm Algorithm Based on the Collective Animal Behavior (CAB) for Circle Detection,. Under such conditions, if multiple solutions (local and global) are known, the implementation can be quickly switched to another solution without much interrupting the design process. This chapter presents a swarm multimodal optimization algorithm named as the Collective Animal Behavior (CAB). Ani

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Locust Search Algorithm Applied for Template Matching,serves as a crucial strategy to allow the localization and recognition of objects and/or patterns within digital images. The purpose of a TM approach is to find the location (region) within a source image which manifest the best possible resemblance to a given sub-image (commonly known as image temp

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