Using algorithmic psychology and problem-solving strategies To use algorithms and other related technologies to their fullest potential, psychologists must understand the advantages of utilizing these tools (as defined in standardized terms) in psychology. What are the potential benefits of this proble...
Yi J-H, Wang J, Wang G-G (2016) Improved probabilistic neural networks with self-adaptive strategies for transformer fault diagnosis problem. Adv Mech Eng 8(1):1–13 Google Scholar Sy Obara, Ito Y, Okada M (2018) Optimization algorithm for power-source arrangement that levels the fluctuat...
We briefly review existing theoretical approaches to solving this problem and explore implementation strategies to reduce run times. With this as a foundation, our primary focus is on a chance-constrained version of the problem in which 伪 % of the scenarios must be feasible under the chosen ...
Simulation of the human immune system against diseases has paved the way for the design of an Artificial Immune System (AIS) algorithm10. Swarm-based algorithms are inspired by the behaviors and strategies of animals, insects, birds, and other swarming activities in nature. The most widely used...
Selman, B., Kautz, H. A. & Cohen, B. Noise strategies for improving local search.in Proc. AAAI-94337–343Seattle, WA, USA (1994). Braunstein, A., Mézard, M. & Zecchina, R. Survey propagation: an algorithm for satisfiability.Random Struct. Alg.27, 201–226 (2005). ...
This study investigates the no-wait flow shop scheduling problem and proposes a hybrid (HES-IG) algorithm that utilizes makespan as the objective function. To address the complexity of this NP-hard problem, the HES-IG algorithm combines evolution strategies (ES) and iterated greedy (IG) algorithm...
The aggregate net pickup in time accomplished by the suggested JAYA is shown in Table 6, exhibiting the predominance and favourable circumstances of JAYA over the strategies said in the literature.. Table 5. Optimal TMS values for Case 1. TMSCPSO [22] (CTI ≥ 0.3)CGA [23] (CTI ...
There are three categories of strategies to solve the problem of class imbalance: the data-level approach, the algorithm-level approach and ensemble learning techniques [3, 4]. The data-level approach includes oversampling, undersampling and feature selection. Oversampling generates minority samples....
Addressing a coordinated quay crane scheduling and assignment problem by red deer algorithm 2019, International Journal of Engineering, Transactions B: Applications Solution strategies for a multiport container ship stowage problem 2019, Mathematical Problems in Engineering View all citing articles on Scopus...
The Optimization Problem (OP)1 as defined by refers to the task of identifying the optimal choice among various strategies and parameters under specific conditions. This problem is prevalent in real-world applications and encompasses a wide range of scenarios where the goal is to find the best so...