Results 51 to 60 of about 394,985 (290)
Fuzzy Goal Programming Approach in Vehicle Routing Problem
The goal programming is commonly used programming techniques in multi-objective decision making approaches. It is not possible to exactly determine the goals and constraints in real life problems.
Selen Çelikkanat filiz, Ergün Eroğlu
doaj +1 more source
Simpler and Better Algorithms for Minimum-Norm Load Balancing [PDF]
Recently, Chakrabarty and Swamy (STOC 2019) introduced the minimum-norm load-balancing problem on unrelated machines, wherein we are given a set J of jobs that need to be scheduled on a set of m unrelated machines, and a monotone, symmetric norm; We seek
Chakrabarty, Deeparnab, Swamy, Chaitanya
core +2 more sources
Natural products target the aging kidney in diabetic nephropathy by restoring the AMPK–SIRT1–Nrf2 axis, reducing oxidative stress, inflammation, fibrosis, and cellular senescence while enhancing mitochondrial biogenesis and antioxidant defenses.
Sherif Hamidu +8 more
wiley +1 more source
This research proposes fuzzy goal programming model for multi-objective multi-mode resource constrained project scheduling problem. Objectives of the problem are minimization of the total time and the total cost of the project.
Busaba Phruksaphanrat, Saran Jarernsuk
doaj
Non-linear Goal Programming Using Multi-Objective Genetic Algorithms [PDF]
Goal programming is a technique often used in engineering design activities primarily to find a compromised solution which will simultaneously satisfy a number of design goals.
Deb, Kalyanmoy
core
ABSTRACT As global populations age, cancer is increasingly becoming a leading cause of morbidity and mortality among older adults, particularly in low‐ and middle‐income countries (LMICs). Despite accounting for the majority of new cancer cases and deaths, older individuals remain underrepresented in cancer research, clinical guidelines, and health ...
Ibrahim Bidemi Abdullateef +2 more
wiley +1 more source
Several factors affect the flexibility and the complexity of the project selection and the contractor selection problems. Project portfolio managers are expected to select the best combination of projects and contractors considering multiple conflicting ...
Mostafa Zahedirad +3 more
doaj +1 more source
Multi-objective optimization approach for cost management during product design at the conceptual phase [PDF]
The effective cost management during the conceptual design phase of a product is essential to develop a product with minimum cost and desired quality. The integration of the methodologies of quality function deployment (QFD), value engineering (VE) and ...
Prasad, K. G. Durga +2 more
core +1 more source
This review summarizes artificial intelligence (AI)‐supported nonpharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies describing AI‐supported interventions for adults with chronic rheumatic diseases.
Nirali Shah +5 more
wiley +1 more source
Optimizing stochastic multi-project scheduling with a simulation integrated multi-objective genetic algorithm [PDF]
The significance of project scheduling and sequencing has increased considerably in recent years, driven by the rising customer demand for highly personalized solutions.
Mudassar Rauf +3 more
doaj +1 more source

