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» A new evolutionary model for detecting multiple optima
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GECCO
2006
Springer
191views Optimization» more  GECCO 2006»
15 years 1 months ago
Automating the drug scheduling with different toxicity clearance in cancer chemotherapy via evolutionary computation
The toxicity of an anticancer drug is cleared from the body by different processes, including saturable metabolic and nonsaturable renal-excretion pathways. According to the princ...
Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok
HPCC
2007
Springer
15 years 1 months ago
A New Method for Multi-objective TDMA Scheduling in Wireless Sensor Networks Using Pareto-Based PSO and Fuzzy Comprehensive Judg
In wireless sensor networks with many-to-one transmission mode, a multi-objective TDMA (Time Division Multiple Access) scheduling model is presented, which concerns about the packe...
Tao Wang, Zhiming Wu, Jianlin Mao
LSSC
2007
Springer
15 years 3 months ago
An Ant-Based Model for Multiple Sequence Alignment
Abstract. Multiple sequence alignment is a key process in today’s biology, and finding a relevant alignment of several sequences is much more challenging than just optimizing so...
Frédéric Guinand, Yoann Pigné
GECCO
2004
Springer
114views Optimization» more  GECCO 2004»
15 years 2 months ago
Evolutionary Drug Scheduling Model for Cancer Chemotherapy
This paper presents a modified optimal control model of drug scheduling in cancer chemotherapy and a new adaptive elitist-population based genetic algorithm (AEGA) to solve it. Wo...
Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok
BMCBI
2004
158views more  BMCBI 2004»
14 years 9 months ago
Improvement of alignment accuracy utilizing sequentially conserved motifs
Background: Multiple sequence alignment algorithms are very important tools in molecular biology today. Accurate alignment of proteins is central to several areas such as homology...
Saikat Chakrabarti, Nitin Bhardwaj, Prem A. Anand,...