Results 71 to 80 of about 24,926 (205)
Agrosystems, Geosciences &Environment, Volume 9, Issue 2, June 2026.Abstract The Guinea Savanna zone of many countries constitutes a critical cashew‐producing area. Despite its importance, data‐driven recommendations on optimal tree spacing remain largely unavailable to farmers in Ghana. This knowledge gap constrains productivity, reduces returns on investment, and affects farmer interest and ultimately the long‐term ...
Sampson Konlan +7 more
wiley +1 more source
Solving 0-1 Knapsack and Bin Packing Problem Using Logical Social Group Optimization
IEEE AccessThe 0-1 Knapsack Problem (KP) and Bin Packing Problem (BPP) are NP-hard combinatorial optimization challenges often tackled using metaheuristics. Both problems have prominent utilization in the real world such as in resource allocation, logistics ...
Rhiddhi Prasad Das +3 more
doaj +1 more source
Gene Silencing Genetic Algorithm for 0/1 Knapsack with Object Preferences [PDF]
International Journal of Computational Intelligence Systems, 2011 Genetic Algorithms are efficient search and optimization techniques inspired by natural evolution. To show the difficulties in solving constrained optimization problems through GA, the 0/1 knapsack problem with user specific object preferences has been ...
S. Siva Sathya +2 more
doaj +1 more source
Soybean and tobacco response to sublethal rates of herbicides used along roadsides
Crop, Forage &Turfgrass Management, Volume 12, Issue 1, June 2026.Abstract Herbicides are one of the primary tools for vegetation management along roadsides. However, the drift of particles and vapors from herbicide applications along roadsides can cause damage and yield loss in adjacent sensitive crops. The objective of this research was to investigate the response of soybean [Glycine max (L.) Merr.] and tobacco ...
Estefania Polli +6 more
wiley +1 more source
Dantzig-Wolfe and Lagrangian decompositions in integer linear programming
, 2011 International audienceWe propose in this paper a new Dantzig-Wolfe master model based on Lagrangian decomposition. We establish the relationship with classical Dantzig-Wolfe decomposition master problem and propose an alternative proof of the dominance ...
Létocart, Lucas +2 more
core +4 more sources
Developmental Science, Volume 29, Issue 3, May 2026.ABSTRACT This longitudinal study examined the developmental relations between first‐order Theory of Mind (ToM), advanced ToM, and executive function (EF) from ages 4 to 7.5. Two‐hundred‐three German children were assessed at ages 4, 5.5, and 7.5 on measures of ToM, EF (working memory, inhibition, cognitive flexibility), general cognition, and language.
Christopher Osterhaus +3 more
wiley +1 more source
Art Adds Value to Ecological Field Courses: A Multi‐Year Case Study in Higher Education
Ecology and Evolution, Volume 16, Issue 4, April 2026.This study presents Earth Projects, an interdisciplinary, place‐based field course that merges ecology and ecological art (eco‐art) to foster deeper engagement with environmental learning. Pre‐ and post‐survey comparisons show that incorporating eco‐art can strengthen students' emotional connections to their identities, disciplines, and place.
Anna Mehlhorn, Anna M. Davidson
wiley +1 more source
Optimal Foraging Algorithm Based on Differential Evolution
IEEE Access, 2020 The optimal foraging algorithm (OFA) was proposed by summarizing the rules of the animal foraging behavior in a group. Therefore OFA also has the defects of the swarm intelligence algorithm, such as easy to trap into local optimum and low convergence ...
Yanming Fu +3 more
doaj +1 more source
Solving 0-1 Knapsack Problem by Greedy Degree and Expectation Efficiency [PDF]
It is well known that 0-1 knapsack problem (KP01) plays an important role in both computing theory and real life application. Due to its NP-hardness, lots of impressive research work has been performed on many variants of the problem.
Cheng, H +4 more
core +1 more source
Anytime Lexicographic Enumeration of the Pareto Front in Multi‐Objective Combinatorial Optimisation
Journal of Multi-Criteria Decision Analysis, Volume 33, Issue 1, April 2026.ABSTRACT Multi‐objective combinatorial optimisation problems are widespread in real‐world scenarios, including resource allocation, scheduling and logistics, where multiple competing objectives need to be optimised simultaneously. In industrial contexts, lexicographic optimisation is often used to solve these problems, requiring the decision‐maker (DM)
Marco Foschini +3 more
wiley +1 more source