There are a lot of multi-objective optimization problems (MOPs) in the real world, and many evolutionary algorithms (MOEAs) have been presented to solve MOPs. However, obtaining non-dominated solutions that trade off convergence diversity remains major challenge for MOEA. To this problem, paper designs an efficient sine cosine algorithm based on competitive mechanism (CMOSCA). In CMOSCA, ranking relies sorting, crowding distance rank is utilized choose outstanding agents, which employed...

Abstract We propose a punishment mechanism in the spatial public goods game with continuous strategies. The value of strategy denotes amount that an individual contributes to each group. In group, ones who contribute least will be punished by others and punishers equally share associated costs. It is found fine number individuals being group play important roles evolution cooperation. Compared case no punishment, cooperation level increases (decreases) when less (more) than half total For...

The reliability and validity of common physical activity (PA) questionnaires are not well investigated in college students. This study aims to evaluate the subjective instruments measuring PA sedentary behaviour (SB) among A total 142 students were included through convenience sampling. Each participant was asked wear Actigraph wGT3X-BT accelerometers fill logs (PAL) for 7 consecutive days. Global Physical Activity Questionnaire (GPAQ), International long-form (IPAQ-LF), short-form (IPAQ-SF)...

Partial disjoint multipath routing has been largely deployed in networks such as wireless sensor networks, outperforming single path load balance and fault tolerance, etc. However, not widely because the difficulty of designing an accordingly distributed algorithm. Software defined networking (SDN) is based on abstract network structure, which separates data plane control plane, decouples dependence, makes management greatly simplified. Due to its architecture, likely be employed SDN,...

Abstract Background The associations of the proportion vigorous physical activity (VPA) to moderate (MVPA) with incident cardiovascular disease (CVD) and all-cause mortality are unclear. Methods present study included 366,566 participants (aged 40–69 years) without baseline CVD from UK biobank during 2006 2010. Cox regression was used calculate hazard ratios (HRs) 95% confidence intervals (CIs) for risks outcomes. Results During a median 11.8 years follow-up, among (mean age [SD]: 56.0...

In this paper, we propose a stochastic win-stay-lose-learn in which an individual is more likely to imitate one of its nearest neighbor’s strategy if aspiration not achieved. The results on the spatial public good game show that cooperation can be greatly enhanced when moderate. Besides, have studied time evolution distribution strategies and probability cooperators defectors choose learn respectively.

This paper investigates the resource allocation problem in heterogeneous cognitive radio networks (HCRNs). In this paper, two types of users, i.e., multi-homing and single-network users (CRUs), are considered to coexist HCRNs. Multi-homing CRUs can access multiple simultaneously, while be served by only one network at a time. With aim maximizing system capacity HCRNs, is formulated as joint multi-dimension optimization which includes selection, bandwidth power for both CRUs. However, leads...

Abstract It is well known that the feedback mechanism or individual’s intuitive response to epidemic can have a vital effect on disease’s spreading. In this paper, we investigate bifurcation behavior and optimal for an SIS model heterogeneous networks. Firstly, present analysis when basic reproduction number equal unity. The direction of also determined. Secondly, different from constant coefficient in existing literature, incorporate time-varying coefficient. This more reasonable since...

Cooperative behavior is prevalent in both human society and nature. Understanding the emergence maintenance of cooperation among self-interested individuals remains a significant challenge evolutionary biology social sciences. Reinforcement learning (RL) provides suitable framework for studying game theory as it can adapt to environmental changes maximize expected benefits. In this study, we employ State-Action-Reward-State-Action (SARSA) algorithm decision-making mechanism theory....

The rapid development of cloud computing and the arrival big data era make relationship between users closer. Cloud has powerful storage capabilities, which can ubiquitously provide with resources. However, do not fully trust server's services, so lots is encrypted uploaded to cloud. Searchable encryption protect confidentiality retrieval functions. In this paper, we propose a time-controlled searchable scheme regular language over data, provides flexible search pattern convenient sharing....

Cooperative behavior widely exists in human society and nature. Understanding how cooperative emerges maintains a population of selfish individuals remains one the major challenges evolutionary biology social sciences. Reinforcement learning is branch machine that emphasizes to react towards environment maximize expected benefits, inspired by behaviorist theory psychology. Hence, it focuses on problem an agent should act unfamiliar its cumulative reward. From this point view, reinforcement...