Results 231 to 240 of about 20,865 (294)

Dyadic expectations of cooperation and support in the transition to parenthood

Family Relations, EarlyView.
Abstract Objective The purpose was to examine dyadic (in)congruent expectations of first‐time expectant parents regarding future coparental cooperation, caregiving responsibilities, and partner support, and explore how gendered assumptions and structural factors (e.g., parental leave) shape these expectations.
Beatriz Melim, Marisa Matias, Carolina Garraio, Sabine Walper, Paula Mena Matos   +4 more
wiley   +1 more source

An enhanced seasons optimization algorithm for numerical optimization and engineering design. [PDF]

Sci Rep
Emami H, Fardi M, Azarnavid B.
europepmc   +1 more source

TimesNet-BFT: Mitigating Network State Uncertainty in Byzantine Consensus via Deep Temporal Modeling. [PDF]

Entropy (Basel)
Wang H, Liu H, Liu Y, Ma H, Gao P.
europepmc   +1 more source

Advances in personalization of psychological interventions. [PDF]

World Psychiatry
Lutz W, Schwartz B, Vehlen A, Eberhardt ST, Delgadillo J.   +4 more
europepmc   +1 more source

A novel approach for dynamic task scheduling for IOT in fog-cloud environment. [PDF]

Sci Rep
Mindil A, Hamed AY, Hassan MR, Elnahary MK.   +3 more
europepmc   +1 more source

A hybrid evolution strategies algorithm for non-permutation flow shop scheduling problems. [PDF]

Sci Rep
Khurshid B, Maqsood S, Habib MS, Omair M, Hwang SJ.   +4 more
europepmc   +1 more source

An enhanced connected banking system optimizer with multiple strategies for numerical optimization problems. [PDF]

Sci Rep
Yin Y, Liu H, Cai S, Ye Y.
europepmc   +1 more source

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Parameter tuning for meta-heuristics

Knowledge-Based Systems, 2020
Abstract These days meta-heuristic algorithms are gaining lot of popularity. The performance of the meta-heuristics depends upon the suitable selection of user dependent parameters. Finding the most suitable values for the parameters (fine tuning) is a challenging problem.
Susheel Kumar Joshi, Jagdish Chand Bansal   +1 more
exaly   +2 more sources

Affine invariance of meta-heuristic algorithms

Information Sciences, 2021
Abstract An algorithm whose performance depends on the objective function being aligned with a privileged coordinate system is a poor choice in general because it is unlikely that the optimal orientation will be known in advance. In this paper, a property of meta-heuristic algorithms, named affine invariance, is introduced to verify whether the ...
ZhongQuan Jian, GuangYu Zhu 0005
openaire   +1 more source