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Advanced Search Results For "EVOLUTIONARY algorithms"

1 - 10 of 18,908 results for
 "EVOLUTIONARY algorithms"
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Integrated scheduling of distributed service resources for complex equipment considering multiple on-site MRO tasks.

Publication Type: Academic Journal

Source(s): International Journal of Production Research. May2022, Vol. 60 Issue 10, p3219-3236. 18p. 6 Diagrams, 5 Charts, 4 Graphs.

Abstract: The previous studies on service resource scheduling for maintenance, repair and operation (MRO) ignore the diverse service processes from different complex equipment and the coordination of task scheduling and resource allocation, which is less realist...

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Switching strategy-based hybrid evolutionary algorithms for job shop scheduling problems.

Publication Type: Academic Journal

Source(s): Journal of Intelligent Manufacturing. Oct2022, Vol. 33 Issue 7, p1939-1966. 28p.

Abstract: Since production efficiency and costs are directly affected by the ways in which jobs are scheduled, scholars have advanced a number of meta-heuristic algorithms to solve the job shop scheduling problem (JSSP). Although this JSSP is widely accepted as ...

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A Novel Ensemble Machine Learning and an Evolutionary Algorithm in Modeling the COVID-19 Epidemic and Optimizing Government Policies.

Publication Type: Academic Journal

Source(s): IEEE Transactions on Systems, Man & Cybernetics. Systems. Oct2022, Vol. 52 Issue 10, p6362-6372. 11p.

Abstract: The spread of the COVID-19 disease has prompted a need for immediate reaction by governments to curb the pandemic. Many countries have adopted different policies and studies are performed to understand the effect of each of the policies on the growth r...

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A Two-Stage Evolutionary Algorithm With Balanced Convergence and Diversity for Many-Objective Optimization.

Publication Type: Academic Journal

Source(s): IEEE Transactions on Systems, Man & Cybernetics. Systems. Oct2022, Vol. 52 Issue 10, p6222-6234. 13p.

Abstract: Multiobjective optimization evolutionary algorithms (MOEAs) have received significant achievements in recent years. However, they encounter many difficulties in dealing with many-objective optimization problems (MaOPs) due to the weak selection pressur...

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Multi-objective evolutionary spatio-temporal forecasting of air pollution.

Publication Type: Academic Journal

Source(s): Future Generation Computer Systems. Nov2022, Vol. 136, p15-33. 19p.

Abstract: Nowadays, air pollution forecasting modeling is vital to achieve an increase in air quality, allowing an improvement of ecosystems and human health. It is important to consider the spatial characteristics of the data, as they allow us to infer predicti...

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Exact and approximate methods for the score-constrained packing problem.

Publication Type: Academic Journal

Source(s): European Journal of Operational Research. Nov2022, Vol. 302 Issue 3, p847-859. 13p.

Abstract: • We study a packing problem where item order and orientation affect feasibility. • An exact polynomial-time algorithm for solving the single-bin problem is presented. • We introduce an EA for the multi-bin problem with three recombination operators. •...

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A two-stage diversity enhancement differential evolution algorithm for multi-objective optimization problem.

Publication Type: Academic Journal

Source(s): Journal of Intelligent & Fuzzy Systems. 2022, Vol. 43 Issue 4, p3993-4010. 18p.

Abstract: In order to solve the premature convergence of multi-objective evolutionary algorithm, a two-stage diversity enhancement differential evolution algorithm for multi-objective optimization problem(TSDE) is proposed. The offspring with better performance ...

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An Agent-Based Macroeconomic Model with Endogenous Intertemporal Decision Rules.

Publication Type: Academic Journal

Source(s): Eastern Economic Journal. Oct2022, Vol. 48 Issue 4, p548-579. 32p.

Authors:

Abstract: This paper uses an evolutionary algorithm to create endogenous intertemporal decision rules in an agent-based macroeconomic model. This approach addresses the Lucas critique in an agent-based model and links agent-based macroeconomic modeling to the st...

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Multi-Objective Particle Swarm Optimization Based Preprocessing of Multi-Class Extremely Imbalanced Datasets.

Publication Type: Academic Journal

Source(s): International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems. Oct2022, Vol. 30 Issue 5, p735-755. 21p.

Abstract: Today's datasets are usually very large with many features and making analysis on such datasets is really a tedious task. Especially when performing classification, selecting attributes that are salient for the process is a brainstorming task. It is mo...

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A novel adaptive weight algorithm based on decomposition and two-part update strategy for many-objective optimization.

Publication Type: Periodical

Source(s): Information Sciences. Nov2022, Vol. 615, p323-347. 25p.

Abstract: • A many objective evolutionary algorithm based on decomposition and moth search is proposed. • Random and adaptive weights is used to break the limitation of uniform distribution weights. • Mutual evaluation value is used to evaluate the optimal indiv...

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