Inverse Design of Mechanical Metamaterials with Target Nonlinear Response via a Neural Accelerated Evolution Strategy
Sign Up to like & getrecommendations! Published in 2022 at "Advanced Materials"
DOI: 10.1002/adma.202206238
Abstract: Materials with target nonlinear mechanical response can support the design of innovative soft robots, wearable devices, footwear, and energyâabsorbing systems, yet it is challenging to realize them. Here, mechanical metamaterials based on hinged quadrilaterals are… read more here.
Keywords: evolution strategy; design; target nonlinear; response ... See more keywords
Boosting an evolution strategy with a preprocessing step: application to group scheduling problem in directional sensor networks
Sign Up to like & getrecommendations! Published in 2018 at "Applied Intelligence"
DOI: 10.1007/s10489-018-1252-9
Abstract: This paper presents a two-membered evolution strategy based approach to address the total rotation minimization problem (TRMP) pertaining to directional sensor networks. TRMP is an NP$\mathcal {N}\mathcal {P}$-hard problem. Performance of the proposed approach is… read more here.
Keywords: directional sensor; evolution strategy; sensor networks; approach ... See more keywords
Combining a gradient-based method and an evolution strategy for multi-objective reinforcement learning
Sign Up to like & getrecommendations! Published in 2020 at "Applied Intelligence"
DOI: 10.1007/s10489-020-01702-7
Abstract: Multi-objective reinforcement learning (MORL) algorithms aim to approximate the Pareto frontier uniformly in multi-objective decision making problems. In the scenario of deep reinforcement learning (RL), gradient-based methods are often adopted to learn deep policies/value functions… read more here.
Keywords: evolution; gradient based; multi objective; reinforcement learning ... See more keywords
Optimizing the minimum spanning tree-based extracted clusters using evolution strategy
Sign Up to like & getrecommendations! Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-0868-6
Abstract: There are many approaches available for extracting clusters. A few are based on the partitioning of the data and others rely on extracting hierarchical structures. Graphs provide a convenient representation of entities having relationships. Clusters… read more here.
Keywords: extracted clusters; clusters using; using evolution; based extracted ... See more keywords
Running time analysis of the Pareto archived evolution strategy on pseudo-Boolean functions
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-5466-3
Abstract: Evolutionary algorithms have long been quite successfully applied to solve multi-objective optimization problems. However, theoretical analysis of multi-objective evolutionary algorithms (MOEAs) is mainly restricted to the simple evolutionary multi-objective optimizer (SEMO). The Pareto archived evolution… read more here.
Keywords: analysis; multi objective; archived evolution; evolution strategy ... See more keywords
Synergistic optimization of renewable energy installations through evolution strategy
Sign Up to like & getrecommendations! Published in 2021 at "Environmental Research Letters"
DOI: 10.1088/1748-9326/abfc75
Abstract: With large parts of the world moving toward renewable energies, there is an urgent need to organize this large-scale transition effectively. This paper presents a new methodology to guide the planning and siting of renewable… read more here.
Keywords: generation; evolution strategy; optimization; electricity generation ... See more keywords
Evolution of strategy narration and leadership work in the digital era
Sign Up to like & getrecommendations! Published in 2019 at "Leadership"
DOI: 10.1177/1742715019826426
Abstract: This paper examines the evolution of strategy narration, contributing to ongoing discussions in this field. Our empirical data, gathered from a large Finnish co-operative bank, cover three decades. According to our findings, digitalisation has brought… read more here.
Keywords: leadership; strategy narration; evolution strategy; leadership work ... See more keywords
Matrix Adaptation Evolution Strategy with Multi-Objective Optimization for Multimodal Optimization
Sign Up to like & getrecommendations! Published in 2019 at "Algorithms"
DOI: 10.3390/a12030056
Abstract: The standard covariance matrix adaptation evolution strategy (CMA-ES) is highly effective at locating a single global optimum. However, it shows unsatisfactory performance for solving multimodal optimization problems (MMOPs). In this paper, an improved algorithm based… read more here.
Keywords: adaptation evolution; matrix adaptation; objective optimization; evolution strategy ... See more keywords
Evolution strategy of ROS1 kinase inhibitors for use in cancer therapy.
Sign Up to like & getrecommendations! Published in 2018 at "Future medicinal chemistry"
DOI: 10.4155/fmc-2018-0033
Abstract: The abnormal expression of c-ros oncogene1 receptor tyrosine kinase (ROS1) has been identified as clinically actionable oncogenic driver in non-small-cell lung cancer. Since crizotinib was approved by the US FDA for the treatment of advanced… read more here.
Keywords: strategy ros1; kinase; evolution strategy; ros1 kinase ... See more keywords