Evolutionary Algorithms

Analysis of a Multimodal Multiobjective Evolutionary Algorithm Based on Neighborhood and Enhanced Special Crowding Distance

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Analysis of a Multimodal Multiobjective Evolutionary Algorithm Based on Neighborhood and Enhanced Special Crowding Distance

Analysis of a Multimodal Multiobjective Evolutionary Algorithm A multimodal multiobjective evolutionary algorithm based on neighborhood and enhanced special crowding distance 1 Research Background The multimodal multiobjective problem (MMOPs) is a special form of multiobjective optimization problem (MOPs), characterized by multiple Pareto optimal solutions (PSs) corresponding to the same objective function value. These multiple sets of … Read more

Designing a Walking Robot on a Laptop in 26 Seconds

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Designing a Walking Robot on a Laptop in 26 Seconds

Source: Machine Heart This article contains 2696 words and is recommended to be read in 6 minutes. It discusses how AI technology can design a successfully walking robot in just 26 seconds. Inspired by the evolutionary design of nature, automated robot design using evolutionary algorithms has been attempted for two decades, but efficiency remains low. … Read more

Analysis of Multimodal Multi-Objective Optimization via Multi-Operator Adaptation and Clustering-Based Environmental Selection

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Analysis of Multimodal Multi-Objective Optimization via Multi-Operator Adaptation and Clustering-Based Environmental Selection

Analysis of Multimodal Multi-Objective Optimization Multimodal multi-objective optimization via multi-operator adaptation and clustering-based environmental selection 1 Research Background The characteristics of Multimodal Multi-Objective Optimization Problems (MMOPs) are the existence of multiple global or local Pareto optimal solution sets (PS) in the decision space. Although many evolutionary algorithms (MMOEAs) have been designed to address these problems, … Read more

Analysis of Multi-Strategy Multi-Objective Differential Evolutionary Algorithm with Reinforcement Learning

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Analysis of Multi-Strategy Multi-Objective Differential Evolutionary Algorithm with Reinforcement Learning

Analysis of the Paper Multi-Strategy Multi-Objective Differential Evolutionary Algorithm with Reinforcement Learning 1 Research Background Multi-objective optimization problems (MOPs) are very common and important in practical applications. Due to the inherent conflicts between different objectives, MOPs usually do not have a single optimal solution but rather a set of optimal solutions known as the Pareto … Read more

Designing a Walking Robot on a Laptop in Just 26 Seconds

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Designing a Walking Robot on a Laptop in Just 26 Seconds

Originally published on Machine Heart Edited by Wei Pang and Dan Jiang Inspired by the evolutionary design of nature, the automation of robot design using evolutionary algorithms has been attempted for twenty years, but efficiency remains low. Now, from a soap-like substance to a successfully walking robot, the entire design process using AI on a … Read more