Titlebook: Genetic and Evolutionary Computing; Proceeding of the Ei Hui Sun,Chin-Yu Yang,Ajith Abraham Conference proceedings 2015 Springer Internatio

TRACE

Artificial Bee Colony Using Opposition-Based Learning this paper presents an effective approach, called ABC using opposition-based learning(OBL-ABC). It generates opposite solution by the employed bee and onlooker bee, and chooses the better solution as the new locations of employed bee and onlooker bee according to the greedy selection strategy in or

河流

Basilar-Artery

Adaptive Sampling Detection Based Immune Optimization Approach and Its Application to Chance Constrablems without any noisy information. In this optimizer, an efficient adaptive sampling detection scheme is developed to detect individual’s feasibility, while those high-quality individuals in the current population can be decided based on the reported sample-allocation scheme; a clonal selection-ba

心胸開闊

VALID

Hybrid Particle Swarm Optimization with Bat Algorithmation problems. In this work, several worst individuals of particles in PSO will be replaced with the best individuals in BA after running some fixed iterations, and on the contrary, the poorer individuals of BA will be replaced with the finest particles of PSO. The?communicating strategy provides t

beta-carotene

nugatory

Command Center Operation Miss Root Cause Analysissigned, to perform day-to-day operations regardless of what is happening around it. There are parts of being human because no one acts perfectly correctly all the time. It’s same with command center, we called it operation miss. We use RCA when it is released. Root Cause Analysis (RCA) is a problem-