DEVELOPMENT OF AN IMPROVED CULTURAL ARTIFICIAL FISH SWARM ALGORITHM WITH CROSSOVER
📄 Project Abstract
This research was aimed at the development of an improved artificial fish swarm optimization algorithm based on knowledge (normative and situational) in cultural algorithm and crossover operator called the modified Cultural Artificial Fish Swarm Algorithm with Crossover (mCAFAC). The Normative and Situational knowledge inherent in cultural algorithm were utilized to guide the step size as well as the direction of evolution of AFSA at different configurations, in order to combat the ease at which AFSA falls into local minima. An inertial weight selection is adopted such that the algorithm can adaptively select its parameters (visual and step size) when searching for global solution. Crossover operator was applied to fuse the AFSA and the modified Cultural Artificial Fish Swarm Algorithm called the mCAFAC, in order to enhance its convergence to a global minimal. Four variations of mCAFAC (mCAFAC_Ns, mCAFAC_Sd, mCAFAC_NsSd and mCAFAC_NsNd) were implemented in Matlab R2013b using different...
🔍 Key Research Areas Covered
- ✅ Literature Review & Theoretical Framework
- ✅ Research Methodology & Data Collection
- ✅ Data Analysis & Statistical Methods
- ✅ Findings & Results Discussion
- ✅ Recommendations & Conclusions
- ✅ References & Bibliography
📚 Complete Project Structure
- Problem Statement & Objectives
- Theoretical Framework & Related Studies
- Data Collection & Analysis Methods
- Findings & Statistical Analysis
- Recommendations & Future Research
- Questionnaires, Data, References
⭐ Why Choose This Electrical And Computer Engineering Project Topics Project?
🎯 Well-Researched
Thoroughly researched with current and relevant sources
📊 Complete Data
Includes statistical analysis and detailed findings
✍️ Original Content
100% original research with proper citations
📝 Properly Formatted
APA/MLA formatting with table of contents
🎓 Supervisor Approved
Meets university standards and requirements
⚡ Instant Download
Immediate access after purchase
🔗 Related Electrical And Computer Engineering Project Topics Project Topics
💬 What Students Say
"This project provided excellent guidance for my Electrical And Computer Engineering Project Topics research. The methodology was clear and the data analysis helped me understand the proper approach."
DEVELOPMENT OF AN IMPROVED CULTURAL ARTIFICIAL FISH SWARM ALGORITHM WITH CROSSOVER
Full Citation:
Ahmed Tijani SALAWUDEEN. (). DEVELOPMENT OF AN IMPROVED CULTURAL ARTIFICIAL FISH SWARM ALGORITHM WITH CROSSOVER. African and General Studies, 40, 14858.
Citation Formats:
APA
Ahmed Tijani SALAWUDEEN. (). DEVELOPMENT OF AN IMPROVED CULTURAL ARTIFICIAL FISH SWARM ALGORITHM WITH CROSSOVER. African and General Studies, 40, 14858.
MLA
Ahmed Tijani SALAWUDEEN. "DEVELOPMENT OF AN IMPROVED CULTURAL ARTIFICIAL FISH SWARM ALGORITHM WITH CROSSOVER." African and General Studies, vol. 40, , pp. 14858.
Chicago
Ahmed Tijani SALAWUDEEN. "DEVELOPMENT OF AN IMPROVED CULTURAL ARTIFICIAL FISH SWARM ALGORITHM WITH CROSSOVER." African and General Studies 40 (): 14858.
Full Citation:
Ahmed Tijani SALAWUDEEN. (). DEVELOPMENT OF AN IMPROVED CULTURAL ARTIFICIAL FISH SWARM ALGORITHM WITH CROSSOVER. African and General Studies, 40, 14858.
Citation Formats:
APA
Ahmed Tijani SALAWUDEEN. (). DEVELOPMENT OF AN IMPROVED CULTURAL ARTIFICIAL FISH SWARM ALGORITHM WITH CROSSOVER. African and General Studies, 40, 14858.
MLA
Ahmed Tijani SALAWUDEEN. "DEVELOPMENT OF AN IMPROVED CULTURAL ARTIFICIAL FISH SWARM ALGORITHM WITH CROSSOVER." African and General Studies, vol. 40, , pp. 14858.
Chicago
Ahmed Tijani SALAWUDEEN. "DEVELOPMENT OF AN IMPROVED CULTURAL ARTIFICIAL FISH SWARM ALGORITHM WITH CROSSOVER." African and General Studies 40 (): 14858.
Document Details
| Author | Ahmed Tijani SALAWUDEEN |
|---|---|
| 📁 Field | Electrical And Computer Engineering Project Topics |
| 🏷️ Type | Engineering Project Topics |
| Pages | 160 Pages |
| Words | 27327 words |
| 📘 Chapters | 1 to 5 Chapters |