Ibrahim M. Hezam

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This paper seeks for the integer optimal solution of the Fractional Programming Problem (IFPP) using three different Swarm Intelligence (SI) algorithms. The three algorithms are: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), and Cuckoo Search (CS). The proposed approaches perform this by embedding the search space truncating the real values to(More)
This paper investigated solving Fractional Programming Problems under Uncertainty (FPPU) using Sperm Motility Algorithm. Sperm Motility Algorithm (SMA) is a novel metaheuristic algorithm inspired by fertilization process in human, was proposed for solving optimization problems by Osama and Hezam [1]. The uncertainty in the Fractional Programming Problem(More)
Cuckoo Search (CS) algorithm has exhibited good performance across a wide range of application problems. In this paper, a Modified Cuckoo Search (MCS) algorithm is presented to solve the Quadratic Assignment Problem (QAP), which is a NP-hard problem and is one of the most interesting and challenging combinatorial optimization problems in the research(More)
Flower pollination algorithm (FP) is a new nature-inspired algorithm, based on the characteristics of flowering plants. Combining with the features of flower pollination algorithm, an improved simulated annealing algorithm is proposed in this paper (FPSA). It can improve the speed of annealing. The initial state of simulated annealing and new solutions are(More)
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