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Article
A deep hybrid transfer learning-based evolutionary algorithm and its application in the optimization of high-order problems
High-order problems pose significant challenges for evolutionary algorithms (EAs) to optimize. To mitigate this, a deep hybrid transfer learning EA (DHTL-EA) is proposed. DHTL-EA works by transferring both the...
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Article
Domination landscape in evolutionary algorithms and its applications
Evolutionary algorithms (EAs) are usually required to solve problems based on domination relationship among solutions. Often, the domination relationship is almost the sole source of knowledge that EAs can uti...
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Chapter and Conference Paper
Comparison of Two Swarm Intelligence Algorithms: From the Viewpoint of Learning
It is always said that learning is at the core of intelligence. How does learning work in swarm intelligence algorithms (SIAs)? This paper tries to answer this question by analyzing the learning mechanisms in ...
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Chapter and Conference Paper
An Enhanced Monarch Butterfly Optimization with Self-adaptive Butterfly Adjusting and Crossover Operators
After studying the behavior of monarch butterflies in nature, Wang et al. proposed a new promising swarm intelligence algorithm, called monarch butterfly optimization (MBO), for addressing unconstrained optimizat...
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Chapter and Conference Paper
An Improved Monarch Butterfly Optimization with Equal Partition and F/T Mutation
In general, the population of most metaheuristic algorithms is randomly initialized at the start of search. Monarch Butterfly Optimization (MBO) with a randomly initialized population, as a kind of metaheurist...
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Chapter and Conference Paper
A Discrete Monarch Butterfly Optimization for Chinese TSP Problem
Recently, Wang et al. proposed a new kind of metaheuristic algorithm, called Monarch Butterfly Optimization (MBO), for global continuous optimization tasks. It has experimentally proven that it has better perform...
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Chapter and Conference Paper
Efficiency and Effectiveness Metrics in Evolutionary Algorithms and Their Application
Efficiency and effectiveness are two important metrics for the evaluation of evolutionary algorithms (EAs). Firstly, there exist a number of efficiency metrics in EA, such as population size, number of termina...
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Article
Hybrid krill herd algorithm with differential evolution for global numerical optimization
In order to overcome the poor exploitation of the krill herd (KH) algorithm, a hybrid differential evolution KH (DEKH) method has been developed for function optimization. The improvement involves adding a new...
