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Article
Two cooperative constraint handling techniques with an external archive for constrained multi-objective optimization
Constrained multi-objective problems are difficult for researchers to solve because they contain infeasible regions. To address this issue, this paper proposes two cooperative constraint handling techniques th...
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Article
Steering the spread of influence adaptively in social networks via a discrete scheduled particle swarm optimization
The classical influence maximization (IM) in social network analysis aims at selecting a group of influential nodes as seed so that the number of nodes activated by the set is maximized when the spreading proc...
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Article
Effects and Feasibility of a Mindfulness-Based Guqin Music Intervention During Pregnancy on Postpartum Anxiety and Depression: A Pilot Randomized Controlled Trial
This study aimed to test the effects and feasibility of a mindfulness-based Guqin music intervention (MBGI), administered during pregnancy, on postpartum anxiety and depression.
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Article
A knowledge-driven monarch butterfly optimization algorithm with self-learning mechanism
The Monarch Butterfly Optimization (MBO) algorithm has been proved to be an efficient meta-heuristic to directly address continuous optimization problems. In the MBO algorithm, the migration operator cooperate...
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Article
A Grou** Cooperative Differential Evolution Algorithm for Solving Partially Separable Complex Optimization Problems
Differential evolution (DE) is a widely accepted optimization algorithm inspired by the mechanisms of biological evolution for complex optimization problems. In this paper, we put forward a co-evolutionary dif...
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Article
An estimation of distribution algorithm with multiple intensification strategies for two-stage hybrid flow-shop scheduling problem with sequence-dependent setup time
The estimation of distribution algorithm (EDA) has recently emerged as a promising alternative to the traditional evolutionary algorithms for solving combinatorial optimization problems. In this paper, an esti...
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Article
A brain storm optimization algorithm with feature information knowledge and learning mechanism
Various optimization problems with multiple decision variables and complex constraints, which exist widely in the real world, are difficult to be solved by traditional methods. Brain storm optimization (BSO) a...
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Article
An ensemble discrete water wave optimization algorithm for the blocking flow-shop scheduling problem with makespan criterion
Production scheduling plays a pivotal role in smart factories due to the development of intelligent manufacturing. As a typical scheduling problem, the blocking flow-shop scheduling problem (BFSP) has attracte...
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Article
A hybrid cooperative differential evolution assisted by CMA-ES with local search mechanism
In this paper, a hybrid cooperative differential evolution with the perturbation of the Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES) with the local search of Limited-Memory Broyden–Fletcher–Gold...
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Article
A constrained multi-objective optimization algorithm with two cooperative populations
Constrained multi-objective problems (CMOPs) require balancing convergence, diversity, and feasibility of solutions. Unfortunately, the existing constrained multi-objective optimization algorithms (CMOEAs) exh...
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Article
Open AccessA memetic discrete differential evolution algorithm for the distributed permutation flow shop scheduling problem
The distributed manufacturing has become a prevail production mode under the economic globalization. In this article, a memetic discrete differential evolution (MDDE) algorithm is proposed to address the distr...
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Article
Open AccessEffects of family relationship and social support on the mental health of Chinese postpartum women
Numerous studies suggest that interpersonal relationships and social support influence the development of postpartum depression and sleep quality for women. However, the effect of support from the husband or t...
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Article
Open AccessPsychosocial risk factors for postpartum depression in Chinese women: a meta-analysis
Postpartum depression (PPD) has been identified as a recognized public health problem that may adversely affect mothers, infants, and family units. Recent studies have identified risk factors for PPD in Wester...
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Article
Hybrid biogeography-based optimization with enhanced mutation and CMA-ES for global optimization problem
In recent years, scheduling problems have attracted enormous attentions from practitioners and researches in manufacturing systems, for instance, the scheduling of computing resource in cloud infrastructure an...
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Article
A jigsaw puzzle inspired algorithm for solving large-scale no-wait flow shop scheduling problems
The no-wait flow shop scheduling problem (NWFSP), as a typical NP-hard problem, has important ramifications in the modern industry. In this paper, a jigsaw puzzle inspired heuristic (JPA) is proposed for solvi...
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Article
A discrete gravitational search algorithm for the blocking flow shop problem with total flow time minimization
The blocking flow shop problem (BFSP) is one of the key models in the flow shop scheduling problem in the manufacturing systems. Gravitational Search Algorithm (GSA) is an algorithm based on the population for...
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Article
A hybrid optimization algorithm based on chaotic differential evolution and estimation of distribution
Estimation of distribution algorithms (EDAs) and differential evolution (DE) are two types of evolutionary algorithms. The former has fast convergence rate and strong global search capability, but is easily tr...
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Chapter and Conference Paper
A Multiagent Genetic Particle Swarm Optimization
The efforts of this paper are proposing a multi-agent genetic particle swarm optimization algorithm (MAGPSO) by introducing the multi-agent system to the particle swarm optimization(PSO) algorithm. Through the...
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Article
A hybrid algorithm based on particle swarm optimization and simulated annealing to holon task allocation for holonic manufacturing system
Manufacturing is currently undergoing a revolutionary transition with focus shifting from mass production to mass customization. This trend motivates a new generation of advanced manufacturing systems that can...
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Chapter and Conference Paper
Timed Petri-Net(TPN) Based Scheduling Holon and Its Solution with a Hybrid PSO-GA Based Evolutionary Algorithm(HPGA)
Modern manufacturing systems have to cope with dynamic changes and uncertainties such as machine break down, hot orders and other kinds of disturbances. Holonic manufacturing systems (HMS) provide a flexible a...
